Introduction


Setup, Quality Control and Sample Integration


  • QC filtering removes low-quality cells (e.g., low gene count or high mitochondrial %).
  • Integration corrects sample-to-sample variation so cells group by biology, not by batch.
  • Harmony and CCA both align shared cell states but use different mathematical strategies.

Differential Gene Expression when dealing with two treatment conditions


  • QC filtering removes low-quality cells (e.g., low gene count or high mitochondrial %).
  • Integration corrects sample-to-sample variation so cells group by biology, not by batch.
  • Harmony and CCA both align shared cell states but use different mathematical strategies.

Differential Expression using a pseudobulk approach and DESeq2


  • Collapse single-cell counts to pseudobulk per donor × condition × cell type.
  • Compare single-cell DE vs pseudobulk DE.