Additional file 2: of CellSIUS provides sensitive and specific detection of rare cell populations from complex single-cell RNA-seq data

Table S4. DE analysis between subclusters and main clusters in the neuroscience dataset. The file contains one sheet per comparison. All sheets are listed below: G.sub_1_vs_all_G: compares the G.sub_1 population to all other cells in the G cluster. G.sub_2_vs_all_G: compares the G.sub_2 population to all other cells in the G cluster. G.sub_3_vs_all_G: compares the G.sub_3 population to all other cells in the G cluster. CR.sub_vs_all_CR: compares the CR.sub population to all other cells in the CR cluster. NP.sub_vs_all_NP: compares the NP.sub population to all other cells in the NP cluster. N.sub_1_vs_all_N: compares the N.sub_1 population to all other cells in the N cluster. N.sub_2_vs_all_N: compares the N.sub_2 population to all other cells in the N cluster. Each sheet contains the following columns: Gene_id: Ensembl gene ID. Mean_exprs: Mean expression [log2(normalized counts + 1)] across the whole dataset. Mean_in_subgroup: Mean expression in the respective subgroup. Pval, adj_pval: p value (Wilcoxon test), adj_pval is adjusted p value (Benjamini-Hochberg). Log2fc: Fold change, calculated as the difference in mean[log2(normalized counts + 1)]. DE_flag: is TRUE if abs(log2fc) > 0.5 and adj_pval