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docs: add changelog and update readme
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jkanche committed May 13, 2022
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# Changelog

## V1.2.0

- Visually compare embeddings across annotations
- with linked embeddings, you can now make lasso selections on any plot and the app automatically highlights these cells across all visualizations
- save and restore state of the embedding from the gallery
- export plots from the interface as png
- drag and drop, and reorganize the gallery in any order you like

![Linked Visualizations](assets/linked_visualization.gif)

## V1.1.0

- Support ADTs
To overlay normalized protein expression of a marker for any ADT tag, these are available as column annotations

![ADT protein expression](./assets/adt_expr.gif)


## V1.0.0

- Full release of the application.
- Supports everything in [README](./README.md)
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# Single cell RNA-seq analysis in the browser
# Kana: Single cell RNA-seq analysis in the browser

## Overview

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- Removal of low-quality cells
- Normalization and log-transformation
- Modelling of the mean-variance trend across genes
- Modeling of the mean-variance trend across genes
- A principal components analysis on the highly variable genes
- Clustering with graph-based methods
- The usual dimensionality reductions (t-SNE/UMAP)
- Marker detection for each cluster
- Make custom cell selections and detect markers for this selection
- Cell type annotation for each cluster across user selected reference datasets
- Perform Integration or Batch correction using MNN correction. You can provide a single dataset containing multiple batches and specify the `batch` column in the cell annotations, or load multiple datasets where each dataset is considered a batch
- ADT aware for Cite-seq data

The interface provides a depiction of the dimensionality reduction of choice,
a ranking of marker genes for the cluster of interest,
and diagnostic plots from the individual analysis steps.

**for release notes and changelog, [read here](./CHANGELOG.md)**

![Features](assets/pbmc_68k.png)

**Tips and tricks:**
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