Fig. 1

Workflow for sensitive gene identification. a After the single-cell sequencing, we obtained expression profiles of various cell types, with different colors representing different cell types. We used Seurat to calculate the CV-rank for all genes in all cells, and the top 2000 genes were defined as HVGs (red); b Based on the results of the first-time unsupervised clustering, we detected high CV-rank genes in each cluster; c Shannon entropy based on the average expressions of these genes (with high CV-rank in more than half of clusters) among cells in each cluster. The genes with high entropy (higher than the median entropy) were regarded as the sensitive genes; d We re-selected the top 2000 HVGs with sensitive genes removed from the expression matrix