Tutorial of single cell RNA-seq¶

• Preprocessing the data of scRNA-seq
• Clustering space
• Data integration and batch correction
• Celltype auto annotation with SCSA
• Celltype auto annotation with MetaTiME
• Trajectory Inference with PAGA or Palantir
• Trajectory Inference with VIA
• Trajectory Inference with VIA and scVelo
• Timing-associated genes analysis with cellfategenie
• Timing-associated genesets analysis with cellfategenie
• Identify the driver regulators of cell fate decisions
• Pathway analysis with AUCell
• Different expression analysis in scRNA-seq
• Drug response predict with scDrug
• Cell interaction with CellPhoneDB
• Multi omics analysis by MOFA
• Multi omics analysis by MOFA and GLUE
• Data integration and batch correction with SIMBA