Analysing data

This section will cover the general workflow of the scRNA-seq analysis using Python from analysis design to final visualisation.

• Designing your analysis
• Dimensionality reduction, clustering and annotation
• Batch correction and data integration
• Spatial transcriptomics
• Abundance and differential expression

Proceed through this section to view materials on all these topics or select a specific session from the above list to jump ahead.