Supports uploading local files (RDS, CSV, TSV) and 10X Genomics data (.zip).
Automatically detects abnormal cells based on multiple indicators, supports adaptive thresholds, batch effect correction, and doublet detection
Hierarchical analysis based on Seurat V5, supporting batch effect inspection and correction
Load single cell data, select grouping column, then add annotations for each grouping variable
Comprehensive visualization toolkit for Seurat V5 objects.
Supports differential expression analysis using Seurat FindMarkers/FindAllMarkers methods
Supports KEGG and GO pathway enrichment analysis with multiple visualization options
Use Slingshot method for trajectory inference analysis to identify cell differentiation paths
Single gene knockout simulation based on scTenifoldKnk package, analyzing the impact of gene knockout on gene expression
Please upload and load data first, then set parameters to start analysis