This is a comprehensive introduction into single-cell analysis in python. I recreate the main single cell analyses from a recent Nature publication. I explain the basics of single-cell sequencing analysis and also introduce more advanced topics. I cover doublet removal, preprocessing, integration, clustering, cell identification, differential expression, gene-set enrichment, non-parametric statistical testing, single-cell gene signature scoring, plotting, and more. This tutorial is suitable for both advance and new single-cell users. I use the scanpy and SCVI packages heavily.

Notebook:
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Reference:
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0:00 intro
1:18 data
6:35 doublet removal
13:03 preprocessing
23:12 Clustering
27:42 Integration
39:56 label cell types
58:28 Analysis

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