ExpressionMatrix2

This repository contains software for analysis, visualization, and clustering of gene expression data from single-cell RNA sequencing developed at Chan-Zuckerberg Initiative. It scales favorably to large numbers of cells thank to its use of Locality-Sensitive Hashing (LSH), and was successfully used, without downsampling, on a data set with over one million cells.

Documentation for the latest version of this software is available online through GitHub Pages, or you can use the directions below to obtain documentation for any previous release.

Getting started

Detailed information to help you get started using this software is available here.

A case study

For a detailed description of an application to a small data set of real data, see here. The screenshot below is from that case study.

Contributing

This project adheres to the Contributor Covenant code of conduct. By participating, you are expected to uphold this code. Please report unacceptable behavior to [email protected].