differential_splicing_example.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "ZqEj_KcGSpyV"
   },
   "outputs": [],
   "source": [
    "# Install scQuint\n",
    "# In Google Colab, it might ask you to restart the runtime after installation\n",
    "!pip install -U git+https://github.com/songlab-cal/scquint.git"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "ypi1bs2OTEeV"
   },
   "outputs": [],
   "source": [
    "%%capture\n",
    "# Download processed intron count data\n",
    "!wget https://figshare.com/ndownloader/files/27696714 -O adata_spl.h5ad"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "cVDApFoxXf-a"
   },
   "outputs": [],
   "source": [
    "%%capture\n",
    "# Download gene annotation\n",
    "!wget --no-check-certificate https://ftp.ensembl.org/pub/release-102/gtf/mus_musculus/Mus_musculus.GRCm38.102.chr.gtf.gz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "pQMBiHyKSnCw",
    "outputId": "f3c7a35a-5e49-4813-c0ac-8f9bc9ae8c5c"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/global/software/sl-7.x86_64/modules/langs/python/3.7/lib/python3.7/site-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n",
      "  import pandas.util.testing as tm\n"
     ]
    }
   ],
   "source": [
    "import anndata\n",
    "import scanpy as sc\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from umap import UMAP\n",
    "\n",
    "from scquint.data import add_gene_annotation, group_introns, filter_min_cells_per_feature, filter_min_cells_per_intron_group, calculate_PSI\n",
    "from scquint.differential_splicing import run_differential_splicing, run_differential_splicing_for_each_group, find_marker_introns, mask_PSI\n",
    "from scquint.dimensionality_reduction.pca import run_pca"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "SW-KOMk0SnCz",
    "outputId": "1e51409a-a22e-49db-aac4-c6dc2527f66c"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/global/software/sl-7.x86_64/modules/langs/python/3.7/lib/python3.7/site-packages/ipykernel_launcher.py:8: DtypeWarning: Columns (0) have mixed types.Specify dtype option on import or set low_memory=False.\n",
      "  \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Filtering to introns associated to 1 and only 1 gene.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/global/scratch/projects/fc_songlab/gbenegas/projects/scquint/scquint/data.py:129: ImplicitModificationWarning: Trying to modify attribute `.var` of view, initializing view as actual.\n",
      "  adata.var[\"gene_id\"] = adata.var.gene_id_list\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Filtering singletons.\n",
      "Filtering intron groups associated with more than 1 gene.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/global/scratch/projects/fc_songlab/gbenegas/.local/lib/python3.7/site-packages/pandas/core/generic.py:5516: ImplicitModificationWarning: Trying to modify attribute `.var` of view, initializing view as actual.\n",
      "  self[name] = value\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 44518 × 29924\n",
       "    obs: 'FACS.selection', 'age', 'cell', 'cell_ontology_class', 'cell_ontology_id', 'free_annotation', 'method', 'mouse.id', 'sex', 'subtissue', 'tissue', 'n_genes', 'n_counts', 'louvain', 'leiden', 'cell_type', 'plate_id'\n",
       "    var: 'chromosome', 'start', 'end', 'strand', 'annotated', 'gene_id_start', 'gene_id_end', 'n_genes', 'gene_id', 'gene_name', 'intron_group', 'intron_group_size', 'n_genes_per_intron_group'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load preprocessed intron counts\n",
    "adata = anndata.read_h5ad(\"adata_spl.h5ad\")\n",
    "\n",
    "# These steps only needed because this data was prepared with older code\n",
    "adata.var = adata.var[[\"chromosome\", \"start\", \"end\", \"strand\", \"annotated\"]]\n",
    "adata.var.end -= 1  # to match the coordinates from this gene annotation\n",
    "adata.var.index = adata.var.chromosome.astype(str) + \":\" + adata.var.start.astype(str) + \"-\" + adata.var.end.astype(str)\n",
    "adata = add_gene_annotation(adata, \"Mus_musculus.GRCm38.102.chr.gtf.gz\")\n",
    "adata = group_introns(adata, by=\"three_prime\")\n",
    "\n",
    "adata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 588
    },
    "id": "sOt5Va6JXf-d",
    "outputId": "04085537-b3f6-420b-b458-4b0477d55551"
   },
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FACS.selection</th>\n",
       "      <th>age</th>\n",
       "      <th>cell</th>\n",
       "      <th>cell_ontology_class</th>\n",
       "      <th>cell_ontology_id</th>\n",
       "      <th>free_annotation</th>\n",
       "      <th>method</th>\n",
       "      <th>mouse.id</th>\n",
       "      <th>sex</th>\n",
       "      <th>subtissue</th>\n",
       "      <th>tissue</th>\n",
       "      <th>n_genes</th>\n",
       "      <th>n_counts</th>\n",
       "      <th>louvain</th>\n",
       "      <th>leiden</th>\n",
       "      <th>cell_type</th>\n",
       "      <th>plate_id</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>my_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A10_B000126</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3m</td>\n",
       "      <td>A10.B000126.3_39_F.1.1</td>\n",
       "      <td>bulge keratinocyte</td>\n",
       "      <td>CL:0002337</td>\n",
       "      <td>nan</td>\n",
       "      <td>facs</td>\n",
       "      <td>3_39_F</td>\n",
       "      <td>female</td>\n",
       "      <td>Telogen</td>\n",
       "      <td>Skin</td>\n",
       "      <td>2552</td>\n",
       "      <td>339047.0</td>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>bulge_keratinocyte</td>\n",
       "      <td>B000126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A10_B000127</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3m</td>\n",
       "      <td>A10.B000127.3_38_F.1.1</td>\n",
       "      <td>myeloid cell</td>\n",
       "      <td>CL:0000763</td>\n",
       "      <td>nan</td>\n",
       "      <td>facs</td>\n",
       "      <td>3_38_F</td>\n",
       "      <td>female</td>\n",
       "      <td>Fat</td>\n",
       "      <td>SCAT</td>\n",
       "      <td>1785</td>\n",
       "      <td>254953.0</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>myeloid_cell</td>\n",
       "      <td>B000127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A10_B000166</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3m</td>\n",
       "      <td>A10.B000166.3_56_F.1.1</td>\n",
       "      <td>basal cell</td>\n",
       "      <td>CL:0000646</td>\n",
       "      <td>basal cell</td>\n",
       "      <td>facs</td>\n",
       "      <td>3_56_F</td>\n",
       "      <td>female</td>\n",
       "      <td>Mammary_Gland</td>\n",
       "      <td>Mammary_Gland</td>\n",
       "      <td>4713</td>\n",
       "      <td>2246909.0</td>\n",
       "      <td>22</td>\n",
       "      <td>20</td>\n",
       "      <td>basal_cell</td>\n",
       "      <td>B000166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A10_B000610</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3m</td>\n",
       "      <td>A10.B000610.3_56_F.1.1</td>\n",
       "      <td>bladder urothelial cell</td>\n",
       "      <td>CL:1001428</td>\n",
       "      <td>nan</td>\n",
       "      <td>facs</td>\n",
       "      <td>3_56_F</td>\n",
       "      <td>female</td>\n",
       "      <td>nan</td>\n",
       "      <td>Bladder</td>\n",
       "      <td>4182</td>\n",
       "      <td>1486054.0</td>\n",
       "      <td>28</td>\n",
       "      <td>26</td>\n",
       "      <td>bladder_urothelial_cell</td>\n",
       "      <td>B000610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A10_B000633</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3m</td>\n",
       "      <td>A10.B000633.3_56_F.1.1</td>\n",
       "      <td>endothelial cell of coronary artery</td>\n",
       "      <td>CL:0000115</td>\n",
       "      <td>coronary vascular endothelial cell</td>\n",
       "      <td>facs</td>\n",
       "      <td>3_56_F</td>\n",
       "      <td>female</td>\n",
       "      <td>RV</td>\n",
       "      <td>Heart</td>\n",
       "      <td>2001</td>\n",
       "      <td>448241.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>endothelial_cell_of_coronary_artery</td>\n",
       "      <td>B000633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P9_MAA001887</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3m</td>\n",
       "      <td>P9.MAA001887.3_39_F.1.1</td>\n",
       "      <td>hematopoietic stem cell</td>\n",
       "      <td>CL:0002035</td>\n",
       "      <td>MPP Fraction B + C</td>\n",
       "      <td>facs</td>\n",
       "      <td>3_39_F</td>\n",
       "      <td>female</td>\n",
       "      <td>KLS</td>\n",
       "      <td>Marrow</td>\n",
       "      <td>2919</td>\n",
       "      <td>227378.0</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>hematopoietic_stem_cell</td>\n",
       "      <td>MAA001887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P9_MAA001888</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3m</td>\n",
       "      <td>P9.MAA001888.3_39_F.1.1</td>\n",
       "      <td>CD4-positive, alpha-beta T cell</td>\n",
       "      <td>CL:0000815</td>\n",
       "      <td>BM CD4 T cell</td>\n",
       "      <td>facs</td>\n",
       "      <td>3_39_F</td>\n",
       "      <td>female</td>\n",
       "      <td>T-cells</td>\n",
       "      <td>Marrow</td>\n",
       "      <td>1960</td>\n",
       "      <td>171978.0</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>CD4_positive,_alpha_beta_T_cell</td>\n",
       "      <td>MAA001888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P9_MAA001889</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3m</td>\n",
       "      <td>P9.MAA001889.3_38_F.1.1</td>\n",
       "      <td>B cell</td>\n",
       "      <td>CL:0000236</td>\n",
       "      <td>B</td>\n",
       "      <td>facs</td>\n",
       "      <td>3_38_F</td>\n",
       "      <td>female</td>\n",
       "      <td>EPCAM</td>\n",
       "      <td>Lung</td>\n",
       "      <td>1622</td>\n",
       "      <td>427794.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>B_cell</td>\n",
       "      <td>MAA001889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P9_MAA001892</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3m</td>\n",
       "      <td>P9.MAA001892.3_38_F.1.1</td>\n",
       "      <td>endothelial cell of lymphatic vessel</td>\n",
       "      <td>CL:1001567</td>\n",
       "      <td>Lympatic</td>\n",
       "      <td>facs</td>\n",
       "      <td>3_38_F</td>\n",
       "      <td>female</td>\n",
       "      <td>Endomucin</td>\n",
       "      <td>Lung</td>\n",
       "      <td>1805</td>\n",
       "      <td>438322.0</td>\n",
       "      <td>37</td>\n",
       "      <td>36</td>\n",
       "      <td>endothelial_cell_of_lymphatic_vessel</td>\n",
       "      <td>MAA001892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P9_MAA001894</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3m</td>\n",
       "      <td>P9.MAA001894.3_39_F.1.1</td>\n",
       "      <td>astrocyte</td>\n",
       "      <td>CL:0000127</td>\n",
       "      <td>nan</td>\n",
       "      <td>facs</td>\n",
       "      <td>3_39_F</td>\n",
       "      <td>female</td>\n",
       "      <td>Cortex</td>\n",
       "      <td>Brain_Non-Myeloid</td>\n",
       "      <td>1466</td>\n",
       "      <td>122397.0</td>\n",
       "      <td>30</td>\n",
       "      <td>39</td>\n",
       "      <td>astrocyte</td>\n",
       "      <td>MAA001894</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>44518 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              FACS.selection age                     cell  \\\n",
       "my_id                                                       \n",
       "A10_B000126              NaN  3m   A10.B000126.3_39_F.1.1   \n",
       "A10_B000127              NaN  3m   A10.B000127.3_38_F.1.1   \n",
       "A10_B000166              NaN  3m   A10.B000166.3_56_F.1.1   \n",
       "A10_B000610              NaN  3m   A10.B000610.3_56_F.1.1   \n",
       "A10_B000633              NaN  3m   A10.B000633.3_56_F.1.1   \n",
       "...                      ...  ..                      ...   \n",
       "P9_MAA001887             NaN  3m  P9.MAA001887.3_39_F.1.1   \n",
       "P9_MAA001888             NaN  3m  P9.MAA001888.3_39_F.1.1   \n",
       "P9_MAA001889             NaN  3m  P9.MAA001889.3_38_F.1.1   \n",
       "P9_MAA001892             NaN  3m  P9.MAA001892.3_38_F.1.1   \n",
       "P9_MAA001894             NaN  3m  P9.MAA001894.3_39_F.1.1   \n",
       "\n",
       "                               cell_ontology_class cell_ontology_id  \\\n",
       "my_id                                                                 \n",
       "A10_B000126                     bulge keratinocyte       CL:0002337   \n",
       "A10_B000127                           myeloid cell       CL:0000763   \n",
       "A10_B000166                             basal cell       CL:0000646   \n",
       "A10_B000610                bladder urothelial cell       CL:1001428   \n",
       "A10_B000633    endothelial cell of coronary artery       CL:0000115   \n",
       "...                                            ...              ...   \n",
       "P9_MAA001887               hematopoietic stem cell       CL:0002035   \n",
       "P9_MAA001888       CD4-positive, alpha-beta T cell       CL:0000815   \n",
       "P9_MAA001889                                B cell       CL:0000236   \n",
       "P9_MAA001892  endothelial cell of lymphatic vessel       CL:1001567   \n",
       "P9_MAA001894                             astrocyte       CL:0000127   \n",
       "\n",
       "                                 free_annotation method mouse.id     sex  \\\n",
       "my_id                                                                      \n",
       "A10_B000126                                  nan   facs   3_39_F  female   \n",
       "A10_B000127                                  nan   facs   3_38_F  female   \n",
       "A10_B000166                           basal cell   facs   3_56_F  female   \n",
       "A10_B000610                                  nan   facs   3_56_F  female   \n",
       "A10_B000633   coronary vascular endothelial cell   facs   3_56_F  female   \n",
       "...                                          ...    ...      ...     ...   \n",
       "P9_MAA001887                  MPP Fraction B + C   facs   3_39_F  female   \n",
       "P9_MAA001888                       BM CD4 T cell   facs   3_39_F  female   \n",
       "P9_MAA001889                                   B   facs   3_38_F  female   \n",
       "P9_MAA001892                            Lympatic   facs   3_38_F  female   \n",
       "P9_MAA001894                                 nan   facs   3_39_F  female   \n",
       "\n",
       "                  subtissue             tissue  n_genes   n_counts  louvain  \\\n",
       "my_id                                                                         \n",
       "A10_B000126         Telogen               Skin     2552   339047.0       10   \n",
       "A10_B000127             Fat               SCAT     1785   254953.0       16   \n",
       "A10_B000166   Mammary_Gland      Mammary_Gland     4713  2246909.0       22   \n",
       "A10_B000610             nan            Bladder     4182  1486054.0       28   \n",
       "A10_B000633              RV              Heart     2001   448241.0        3   \n",
       "...                     ...                ...      ...        ...      ...   \n",
       "P9_MAA001887            KLS             Marrow     2919   227378.0        8   \n",
       "P9_MAA001888        T-cells             Marrow     1960   171978.0        7   \n",
       "P9_MAA001889          EPCAM               Lung     1622   427794.0        1   \n",
       "P9_MAA001892      Endomucin               Lung     1805   438322.0       37   \n",
       "P9_MAA001894         Cortex  Brain_Non-Myeloid     1466   122397.0       30   \n",
       "\n",
       "              leiden                             cell_type   plate_id  \n",
       "my_id                                                                  \n",
       "A10_B000126        9                    bulge_keratinocyte    B000126  \n",
       "A10_B000127       16                          myeloid_cell    B000127  \n",
       "A10_B000166       20                            basal_cell    B000166  \n",
       "A10_B000610       26               bladder_urothelial_cell    B000610  \n",
       "A10_B000633        3   endothelial_cell_of_coronary_artery    B000633  \n",
       "...              ...                                   ...        ...  \n",
       "P9_MAA001887       8               hematopoietic_stem_cell  MAA001887  \n",
       "P9_MAA001888       7       CD4_positive,_alpha_beta_T_cell  MAA001888  \n",
       "P9_MAA001889       1                                B_cell  MAA001889  \n",
       "P9_MAA001892      36  endothelial_cell_of_lymphatic_vessel  MAA001892  \n",
       "P9_MAA001894      39                             astrocyte  MAA001894  \n",
       "\n",
       "[44518 rows x 17 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Metadata associated to each cell\n",
    "adata.obs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 661
    },
    "id": "wCbolVLhXf-h",
    "outputId": "47416fda-846b-4b8d-991e-8e38f3d80b8c"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>chromosome</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "      <th>strand</th>\n",
       "      <th>annotated</th>\n",
       "      <th>gene_id_start</th>\n",
       "      <th>gene_id_end</th>\n",
       "      <th>n_genes</th>\n",
       "      <th>gene_id</th>\n",
       "      <th>gene_name</th>\n",
       "      <th>intron_group</th>\n",
       "      <th>intron_group_size</th>\n",
       "      <th>n_genes_per_intron_group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Sox17_chr1:4492669-4493099</th>\n",
       "      <td>chr1</td>\n",
       "      <td>4492669</td>\n",
       "      <td>4493099</td>\n",
       "      <td>-</td>\n",
       "      <td>True</td>\n",
       "      <td>ENSMUSG00000025902</td>\n",
       "      <td>ENSMUSG00000025902</td>\n",
       "      <td>1</td>\n",
       "      <td>ENSMUSG00000025902</td>\n",
       "      <td>Sox17</td>\n",
       "      <td>Sox17_chr1_4492669_-</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sox17_chr1:4492669-4493771</th>\n",
       "      <td>chr1</td>\n",
       "      <td>4492669</td>\n",
       "      <td>4493771</td>\n",
       "      <td>-</td>\n",
       "      <td>True</td>\n",
       "      <td>ENSMUSG00000025902</td>\n",
       "      <td>ENSMUSG00000025902</td>\n",
       "      <td>1</td>\n",
       "      <td>ENSMUSG00000025902</td>\n",
       "      <td>Sox17</td>\n",
       "      <td>Sox17_chr1_4492669_-</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mrpl15_chr1:4774517-4776409</th>\n",
       "      <td>chr1</td>\n",
       "      <td>4774517</td>\n",
       "      <td>4776409</td>\n",
       "      <td>-</td>\n",
       "      <td>False</td>\n",
       "      <td>ENSMUSG00000033845</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>ENSMUSG00000033845</td>\n",
       "      <td>Mrpl15</td>\n",
       "      <td>Mrpl15_chr1_4774517_-</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mrpl15_chr1:4774517-4777524</th>\n",
       "      <td>chr1</td>\n",
       "      <td>4774517</td>\n",
       "      <td>4777524</td>\n",
       "      <td>-</td>\n",
       "      <td>True</td>\n",
       "      <td>ENSMUSG00000033845</td>\n",
       "      <td>ENSMUSG00000033845</td>\n",
       "      <td>1</td>\n",
       "      <td>ENSMUSG00000033845</td>\n",
       "      <td>Mrpl15</td>\n",
       "      <td>Mrpl15_chr1_4774517_-</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mrpl15_chr1:4777649-4778747</th>\n",
       "      <td>chr1</td>\n",
       "      <td>4777649</td>\n",
       "      <td>4778747</td>\n",
       "      <td>-</td>\n",
       "      <td>False</td>\n",
       "      <td>ENSMUSG00000033845</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>ENSMUSG00000033845</td>\n",
       "      <td>Mrpl15</td>\n",
       "      <td>Mrpl15_chr1_4777649_-</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arhgap6_chrX:169036867-169220197</th>\n",
       "      <td>chrX</td>\n",
       "      <td>169036867</td>\n",
       "      <td>169220197</td>\n",
       "      <td>+</td>\n",
       "      <td>True</td>\n",
       "      <td>ENSMUSG00000031355</td>\n",
       "      <td>ENSMUSG00000031355</td>\n",
       "      <td>1</td>\n",
       "      <td>ENSMUSG00000031355</td>\n",
       "      <td>Arhgap6</td>\n",
       "      <td>Arhgap6_chrX_169220197_+</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mid1_chrX:169685373-169926953</th>\n",
       "      <td>chrX</td>\n",
       "      <td>169685373</td>\n",
       "      <td>169926953</td>\n",
       "      <td>+</td>\n",
       "      <td>True</td>\n",
       "      <td>ENSMUSG00000035299</td>\n",
       "      <td>ENSMUSG00000035299</td>\n",
       "      <td>1</td>\n",
       "      <td>ENSMUSG00000035299</td>\n",
       "      <td>Mid1</td>\n",
       "      <td>Mid1_chrX_169926953_+</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mid1_chrX:169879910-169926953</th>\n",
       "      <td>chrX</td>\n",
       "      <td>169879910</td>\n",
       "      <td>169926953</td>\n",
       "      <td>+</td>\n",
       "      <td>True</td>\n",
       "      <td>ENSMUSG00000035299</td>\n",
       "      <td>ENSMUSG00000035299</td>\n",
       "      <td>1</td>\n",
       "      <td>ENSMUSG00000035299</td>\n",
       "      <td>Mid1</td>\n",
       "      <td>Mid1_chrX_169926953_+</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eif2s3y_chrY:1012170-1014633</th>\n",
       "      <td>chrY</td>\n",
       "      <td>1012170</td>\n",
       "      <td>1014633</td>\n",
       "      <td>+</td>\n",
       "      <td>True</td>\n",
       "      <td>ENSMUSG00000069049</td>\n",
       "      <td>ENSMUSG00000069049</td>\n",
       "      <td>1</td>\n",
       "      <td>ENSMUSG00000069049</td>\n",
       "      <td>Eif2s3y</td>\n",
       "      <td>Eif2s3y_chrY_1014633_+</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eif2s3y_chrY:1013474-1014633</th>\n",
       "      <td>chrY</td>\n",
       "      <td>1013474</td>\n",
       "      <td>1014633</td>\n",
       "      <td>+</td>\n",
       "      <td>True</td>\n",
       "      <td>ENSMUSG00000069049</td>\n",
       "      <td>ENSMUSG00000069049</td>\n",
       "      <td>1</td>\n",
       "      <td>ENSMUSG00000069049</td>\n",
       "      <td>Eif2s3y</td>\n",
       "      <td>Eif2s3y_chrY_1014633_+</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>29924 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 chromosome      start        end strand  \\\n",
       "Sox17_chr1:4492669-4493099             chr1    4492669    4493099      -   \n",
       "Sox17_chr1:4492669-4493771             chr1    4492669    4493771      -   \n",
       "Mrpl15_chr1:4774517-4776409            chr1    4774517    4776409      -   \n",
       "Mrpl15_chr1:4774517-4777524            chr1    4774517    4777524      -   \n",
       "Mrpl15_chr1:4777649-4778747            chr1    4777649    4778747      -   \n",
       "...                                     ...        ...        ...    ...   \n",
       "Arhgap6_chrX:169036867-169220197       chrX  169036867  169220197      +   \n",
       "Mid1_chrX:169685373-169926953          chrX  169685373  169926953      +   \n",
       "Mid1_chrX:169879910-169926953          chrX  169879910  169926953      +   \n",
       "Eif2s3y_chrY:1012170-1014633           chrY    1012170    1014633      +   \n",
       "Eif2s3y_chrY:1013474-1014633           chrY    1013474    1014633      +   \n",
       "\n",
       "                                  annotated       gene_id_start  \\\n",
       "Sox17_chr1:4492669-4493099             True  ENSMUSG00000025902   \n",
       "Sox17_chr1:4492669-4493771             True  ENSMUSG00000025902   \n",
       "Mrpl15_chr1:4774517-4776409           False  ENSMUSG00000033845   \n",
       "Mrpl15_chr1:4774517-4777524            True  ENSMUSG00000033845   \n",
       "Mrpl15_chr1:4777649-4778747           False  ENSMUSG00000033845   \n",
       "...                                     ...                 ...   \n",
       "Arhgap6_chrX:169036867-169220197       True  ENSMUSG00000031355   \n",
       "Mid1_chrX:169685373-169926953          True  ENSMUSG00000035299   \n",
       "Mid1_chrX:169879910-169926953          True  ENSMUSG00000035299   \n",
       "Eif2s3y_chrY:1012170-1014633           True  ENSMUSG00000069049   \n",
       "Eif2s3y_chrY:1013474-1014633           True  ENSMUSG00000069049   \n",
       "\n",
       "                                         gene_id_end  n_genes  \\\n",
       "Sox17_chr1:4492669-4493099        ENSMUSG00000025902        1   \n",
       "Sox17_chr1:4492669-4493771        ENSMUSG00000025902        1   \n",
       "Mrpl15_chr1:4774517-4776409                                 1   \n",
       "Mrpl15_chr1:4774517-4777524       ENSMUSG00000033845        1   \n",
       "Mrpl15_chr1:4777649-4778747                                 1   \n",
       "...                                              ...      ...   \n",
       "Arhgap6_chrX:169036867-169220197  ENSMUSG00000031355        1   \n",
       "Mid1_chrX:169685373-169926953     ENSMUSG00000035299        1   \n",
       "Mid1_chrX:169879910-169926953     ENSMUSG00000035299        1   \n",
       "Eif2s3y_chrY:1012170-1014633      ENSMUSG00000069049        1   \n",
       "Eif2s3y_chrY:1013474-1014633      ENSMUSG00000069049        1   \n",
       "\n",
       "                                             gene_id gene_name  \\\n",
       "Sox17_chr1:4492669-4493099        ENSMUSG00000025902     Sox17   \n",
       "Sox17_chr1:4492669-4493771        ENSMUSG00000025902     Sox17   \n",
       "Mrpl15_chr1:4774517-4776409       ENSMUSG00000033845    Mrpl15   \n",
       "Mrpl15_chr1:4774517-4777524       ENSMUSG00000033845    Mrpl15   \n",
       "Mrpl15_chr1:4777649-4778747       ENSMUSG00000033845    Mrpl15   \n",
       "...                                              ...       ...   \n",
       "Arhgap6_chrX:169036867-169220197  ENSMUSG00000031355   Arhgap6   \n",
       "Mid1_chrX:169685373-169926953     ENSMUSG00000035299      Mid1   \n",
       "Mid1_chrX:169879910-169926953     ENSMUSG00000035299      Mid1   \n",
       "Eif2s3y_chrY:1012170-1014633      ENSMUSG00000069049   Eif2s3y   \n",
       "Eif2s3y_chrY:1013474-1014633      ENSMUSG00000069049   Eif2s3y   \n",
       "\n",
       "                                              intron_group  intron_group_size  \\\n",
       "Sox17_chr1:4492669-4493099            Sox17_chr1_4492669_-                  2   \n",
       "Sox17_chr1:4492669-4493771            Sox17_chr1_4492669_-                  2   \n",
       "Mrpl15_chr1:4774517-4776409          Mrpl15_chr1_4774517_-                  2   \n",
       "Mrpl15_chr1:4774517-4777524          Mrpl15_chr1_4774517_-                  2   \n",
       "Mrpl15_chr1:4777649-4778747          Mrpl15_chr1_4777649_-                  2   \n",
       "...                                                    ...                ...   \n",
       "Arhgap6_chrX:169036867-169220197  Arhgap6_chrX_169220197_+                  2   \n",
       "Mid1_chrX:169685373-169926953        Mid1_chrX_169926953_+                  2   \n",
       "Mid1_chrX:169879910-169926953        Mid1_chrX_169926953_+                  2   \n",
       "Eif2s3y_chrY:1012170-1014633        Eif2s3y_chrY_1014633_+                  2   \n",
       "Eif2s3y_chrY:1013474-1014633        Eif2s3y_chrY_1014633_+                  2   \n",
       "\n",
       "                                  n_genes_per_intron_group  \n",
       "Sox17_chr1:4492669-4493099                               1  \n",
       "Sox17_chr1:4492669-4493771                               1  \n",
       "Mrpl15_chr1:4774517-4776409                              1  \n",
       "Mrpl15_chr1:4774517-4777524                              1  \n",
       "Mrpl15_chr1:4777649-4778747                              1  \n",
       "...                                                    ...  \n",
       "Arhgap6_chrX:169036867-169220197                         1  \n",
       "Mid1_chrX:169685373-169926953                            1  \n",
       "Mid1_chrX:169879910-169926953                            1  \n",
       "Eif2s3y_chrY:1012170-1014633                             1  \n",
       "Eif2s3y_chrY:1013474-1014633                             1  \n",
       "\n",
       "[29924 rows x 13 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Metadata associated to each intron/splice junction\n",
    "adata.var"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "tD23kYcGXf-j",
    "outputId": "aac3b949-2345-4687-b9e5-3b56f672a306"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "filter_min_cells_per_feature\n",
      "filter_singletons\n",
      "filter_min_cells_per_intron_group\n",
      "filter_singletons\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(4433, 3044)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Filtering to heart cells\n",
    "adata = adata[adata.obs.tissue==\"Heart\"]\n",
    "adata = filter_min_cells_per_feature(adata, 100)\n",
    "adata = filter_min_cells_per_intron_group(adata, 100)\n",
    "adata.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 337
    },
    "id": "rND8w5yyXf-k",
    "outputId": "6966f142-ba75-4b95-be13-986e30960894"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Obtaining a low dimensional visualization based on alternative splicing\n",
    "adata.obsm[\"X_umap\"] = UMAP(n_components=2).fit_transform(run_pca(adata, 10))\n",
    "sc.pl.umap(adata, color='cell_ontology_class')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "fibroblast of cardiac tissue           2118\n",
       "endothelial cell of coronary artery    1179\n",
       "monocyte                                490\n",
       "endocardial cell                        164\n",
       "atrial myocyte                          159\n",
       "valve cell                              158\n",
       "smooth muscle cell                       65\n",
       "ventricular myocyte                      46\n",
       "T cell                                   37\n",
       "B cell                                   15\n",
       "macrophage                                2\n",
       "Name: cell_ontology_class, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.obs.cell_ontology_class.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['fibroblast of cardiac tissue',\n",
       " 'endothelial cell of coronary artery',\n",
       " 'monocyte',\n",
       " 'endocardial cell',\n",
       " 'atrial myocyte',\n",
       " 'valve cell']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "groups_test = adata.obs.cell_ontology_class.value_counts()[:6].head(6).index.tolist()\n",
    "groups_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "fibroblast of cardiac tissue\n",
      "sample sizes:  2118 2150\n",
      "(4268, 3044)\n",
      "filter_min_cells_per_feature\n",
      "filter_singletons\n",
      "(4268, 3044)\n",
      "filter_min_global_proportion\n",
      "filter_singletons\n",
      "(4268, 3023)\n",
      "filter_min_cells_per_intron_group\n",
      "filter_singletons\n",
      "filter_min_cells_per_intron_group\n",
      "filter_singletons\n",
      "(4268, 2871)\n",
      "Number of intron groups:  1359\n",
      "Number of introns:  2871\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 1359/1359 [00:14<00:00, 91.45it/s] \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "endothelial cell of coronary artery\n",
      "sample sizes:  1179 3089\n",
      "(4268, 3044)\n",
      "filter_min_cells_per_feature\n",
      "filter_singletons\n",
      "(4268, 3044)\n",
      "filter_min_global_proportion\n",
      "filter_singletons\n",
      "(4268, 3023)\n",
      "filter_min_cells_per_intron_group\n",
      "filter_singletons\n",
      "filter_min_cells_per_intron_group\n",
      "filter_singletons\n",
      "(4268, 2445)\n",
      "Number of intron groups:  1148\n",
      "Number of introns:  2445\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 1148/1148 [00:05<00:00, 226.85it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "monocyte\n",
      "sample sizes:  490 3778\n",
      "(4268, 3044)\n",
      "filter_min_cells_per_feature\n",
      "filter_singletons\n",
      "(4268, 3044)\n",
      "filter_min_global_proportion\n",
      "filter_singletons\n",
      "(4268, 3023)\n",
      "filter_min_cells_per_intron_group\n",
      "filter_singletons\n",
      "filter_min_cells_per_intron_group\n",
      "filter_singletons\n",
      "(4268, 1894)\n",
      "Number of intron groups:  889\n",
      "Number of introns:  1894\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 889/889 [00:04<00:00, 216.72it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "endocardial cell\n",
      "sample sizes:  164 4104\n",
      "(4268, 3044)\n",
      "filter_min_cells_per_feature\n",
      "filter_singletons\n",
      "(4268, 3044)\n",
      "filter_min_global_proportion\n",
      "filter_singletons\n",
      "(4268, 3023)\n",
      "filter_min_cells_per_intron_group\n",
      "filter_singletons\n",
      "filter_min_cells_per_intron_group\n",
      "filter_singletons\n",
      "(4268, 964)\n",
      "Number of intron groups:  448\n",
      "Number of introns:  964\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 448/448 [00:02<00:00, 164.00it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "atrial myocyte\n",
      "sample sizes:  159 4109\n",
      "(4268, 3044)\n",
      "filter_min_cells_per_feature\n",
      "filter_singletons\n",
      "(4268, 3044)\n",
      "filter_min_global_proportion\n",
      "filter_singletons\n",
      "(4268, 3023)\n",
      "filter_min_cells_per_intron_group\n",
      "filter_singletons\n",
      "filter_min_cells_per_intron_group\n",
      "filter_singletons\n",
      "(4268, 729)\n",
      "Number of intron groups:  338\n",
      "Number of introns:  729\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 338/338 [00:01<00:00, 235.75it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "valve cell\n",
      "sample sizes:  158 4110\n",
      "(4268, 3044)\n",
      "filter_min_cells_per_feature\n",
      "filter_singletons\n",
      "(4268, 3044)\n",
      "filter_min_global_proportion\n",
      "filter_singletons\n",
      "(4268, 3023)\n",
      "filter_min_cells_per_intron_group\n",
      "filter_singletons\n",
      "filter_min_cells_per_intron_group\n",
      "filter_singletons\n",
      "(4268, 852)\n",
      "Number of intron groups:  394\n",
      "Number of introns:  852\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 394/394 [00:02<00:00, 194.10it/s]\n"
     ]
    }
   ],
   "source": [
    "diff_spl_intron_groups, diff_spl_introns = run_differential_splicing_for_each_group(\n",
    "    adata, \"cell_ontology_class\", groups=groups_test, subset_to_groups=True,\n",
    "    min_cells_per_intron_group=50, min_total_cells_per_intron=50,\n",
    "    n_jobs=-1,  # -1 means use all cores\n",
    "    # It will run much faster on a machine with multiple cores than in Colab\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1335, 12)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sig_diff_spl_intron_groups = diff_spl_intron_groups.query('p_value_adj < 0.05 and max_abs_delta_psi > 0.05')\n",
    "sig_diff_spl_intron_groups.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Number of significant events per cell type\n",
    "sns.countplot(sig_diff_spl_intron_groups, y=\"test_group\", color=\"C0\", order=groups_test);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/global/scratch/projects/fc_songlab/gbenegas/projects/scquint/scquint/data.py:203: RuntimeWarning: invalid value encountered in true_divide\n",
      "  return X / intron_group_sums[:,groups]\n"
     ]
    }
   ],
   "source": [
    "# Calculate PSI (intron proportions) from intron counts\n",
    "# This is expected to contain lots of nan's\n",
    "adata.layers[\"PSI_raw\"] = calculate_PSI(adata)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'fibroblast of cardiac tissue': ['Fmo1_chr1:162859563-162859800',\n",
       "  'S100a16_chr3:90537418-90541993',\n",
       "  'Arhgef2_chr3:88616655-88629786',\n",
       "  'Lims2_chr18:31931551-31941739',\n",
       "  'Sh3kbp1_chrX:159840612-159865324',\n",
       "  'Lmo2_chr2:103969722-103970492',\n",
       "  'Nav1_chr1:135472872-135510203',\n",
       "  'Sdr39u1_chr14:55899921-55900267',\n",
       "  'Pola2_chr19:5951787-5953064',\n",
       "  'Steap3_chr1:120244268-120258760'],\n",
       " 'endothelial cell of coronary artery': ['Fbln2_chr6:91257827-91263338',\n",
       "  'Arhgef3_chr14:27238154-27265522',\n",
       "  'Arhgap10_chr8:77259210-77276816',\n",
       "  'Rapgef1_chr2:29643915-29679132',\n",
       "  'Lipe_chr7:25388654-25390061',\n",
       "  'Akap12_chr10:4334710-4353141',\n",
       "  'Utrn_chr10:12765333-12813445',\n",
       "  'Myo1c_chr11:75650765-75657491',\n",
       "  'Arhgef1_chr7:24918001-24919630',\n",
       "  'C1qtnf1_chr11:118433903-118443691'],\n",
       " 'monocyte': ['Lsp1_chr7:142460967-142484478',\n",
       "  'Mbnl1_chr3:60473174-60528755',\n",
       "  'Ntpcr_chr8:125733232-125736067',\n",
       "  'P2ry6_chr7:100940019-100964218',\n",
       "  'Arap1_chr7:101393630-101394733',\n",
       "  'Nsfl1c_chr2:151500790-151503013',\n",
       "  'Adam15_chr3:89340180-89340400',\n",
       "  'Rps24_chr14:24493494-24495774',\n",
       "  'Rps6ka1_chr4:133872004-133874607',\n",
       "  'Gsn_chr2:35266904-35283904'],\n",
       " 'endocardial cell': ['Ablim1_chr19:57083604-57118751',\n",
       "  'Palm_chr10:79806078-79806639',\n",
       "  'Myl6_chr10:128491034-128491719',\n",
       "  'Pigp_chr16:94370193-94370365',\n",
       "  'Dcn_chr10:97479790-97483338',\n",
       "  'Maged2_chrX:150812738-150814228'],\n",
       " 'atrial myocyte': ['Pdlim5_chr3:142304470-142304704',\n",
       "  'Art3_chr5:92412195-92414241',\n",
       "  'Zfyve21_chr12:111825633-111827542',\n",
       "  'Svil_chr18:4995150-5037107',\n",
       "  'Vdac3_chr8:22583737-22587549',\n",
       "  'Slc25a3_chr10:91119707-91122206',\n",
       "  'Capzb_chr4:139288974-139291002',\n",
       "  'Nexn_chr3:152253130-152253611',\n",
       "  'Immt_chr6:71851881-71856911',\n",
       "  'Asph_chr4:9639348-9643534'],\n",
       " 'valve cell': ['Pkig_chr2:163694157-163703485']}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "marker_introns = find_marker_introns(\n",
    "    diff_spl_intron_groups, diff_spl_introns, n=10, min_delta_psi=0.3,\n",
    ")\n",
    "marker_introns = {c: marker_introns[c] for c in groups_test} # just reordering\n",
    "marker_introns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 267.84x1256.4 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pl.matrixplot(\n",
    "    # we want to mask introns with less than min_cells=10 cells with defined PSI\n",
    "    # to reduce noise in the heatmap visualization\n",
    "    mask_PSI(\n",
    "        adata[adata.obs.cell_ontology_class.isin(groups_test)],\n",
    "        marker_introns, \"cell_ontology_class\", min_cells=10\n",
    "    ),\n",
    "    marker_introns, 'cell_ontology_class', cmap='coolwarm', categories_order=groups_test,\n",
    "    swap_axes=True, layer=\"PSI_raw_masked\", colorbar_title=\"Mean PSI\", vmin=0, vmax=1,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pl.heatmap(\n",
    "    mask_PSI(\n",
    "        adata[adata.obs.cell_ontology_class.isin(groups_test)],\n",
    "        marker_introns, \"cell_ontology_class\", min_cells=10\n",
    "    ),\n",
    "    marker_introns,\n",
    "    'cell_ontology_class',\n",
    "    cmap='coolwarm',\n",
    "    # categories_order=groups_test,  # not working for some reason\n",
    "    swap_axes=True,\n",
    "    layer=\"PSI_raw_masked\",\n",
    "    vmin=0,\n",
    "    vmax=1,\n",
    "    figsize=(10, 10),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "id": "kxQuOpIxSnC6"
   },
   "outputs": [],
   "source": [
    "# The results can be further visualized with \n",
    "# the cellxgene browser https://scquint.ds.czbiohub.org/tabula-muris/\n",
    "# and UCSC Genome Browser https://genome.ucsc.edu/s/gbenegas/tabulamuris"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "name": "differential_splicing_example.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3.7",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}