Fix docs

.readthedocs.yml

@@ -2,17 +2,14 @@ version: 2
 build:
   os: ubuntu-20.04
   tools:
-    python: "3.8"
+    python: "3.11"
   apt_packages:
     - pandoc
   jobs:
     post_create_environment:
-      - pip install torch==1.11.0+cpu --extra-index-url https://download.pytorch.org/whl/cpu
-      - pip install https://data.pyg.org/whl/torch-1.11.0%2Bcpu/torch_cluster-1.6.0-cp38-cp38-linux_x86_64.whl
-      - pip install https://data.pyg.org/whl/torch-1.11.0%2Bcpu/torch_scatter-2.0.9-cp38-cp38-linux_x86_64.whl
-      - pip install https://data.pyg.org/whl/torch-1.11.0%2Bcpu/torch_sparse-0.6.15-cp38-cp38-linux_x86_64.whl
-      - pip install torch-geometric
+      - pip install torch==2.0.0+cpu --extra-index-url https://download.pytorch.org/whl/cpu
       - pip install cell-decipher
+      - pip --no-cache-dir install pyg_lib torch_scatter torch_sparse torch_cluster torch_spline_conv -f https://data.pyg.org/whl/torch-2.0.0+cpu.html
 sphinx:
   configuration: docs/conf.py
 python:

README.md

@@ -84,11 +84,13 @@ sc.pl.umap(adata, color=['region'])
 
 
 ## Citation
-In preparation.
+In coming.
 
 > If you want to repeat our benchmarks and case studies, please check the [**benchmark**](./benchmark/README.md) and [**experiments**](./experiments/README.md) folder.
 
 ## FAQ
+> Please open a new [github issue](https://github.com/gao-lab/DECIPHER/issues/new/choose) if you meeting problem.
+
 1. `CUDA out of memory` error
 
 The `model.train_gene_select()` function in [Identify Localization-related LRs](./docs/tutorials/3-select_LRs.ipynb) tutorial (~700k cells and 1k LRs) uses ~40G GPU memory. If your GPU do not have enough memory, you still can train model on GPU but disabling GPU in `train_gene_select()` function.