Tutorial of condition comparison analysis of scRNA-seq data

This tutorial is about how to compare scRNA-seq data representing different experimental conditions. It includes three parts:

1. The analysis to the example data set in order to get a universal annotation for the following analysis;
2. How to compare the cell type/state/cluster compositions between two different conditions;
3. How to do differential expression analysis focusing on one cell type/state/cluster of interest.

The example data set used in this tutorial is a part of the data from the preprint paper Inferring and perturbing cell fate regulomes in human cerebral organoids.

If you are a beginner of scRNA-seq data analysis, you can check the other tutorial "Tutorial for scRNA-seq data analysis beginners using R".

Please contact Dr. Zhisong He (zhisong.he(at)bsse.ethz.ch) or Prof. Barbara Treutlein (barbara.treutlein(at)bsse.ethz.ch) if there is any question.