DEA Results: CD14+ Monocytes vs Others (PBMC 3K) — dea_pbmc3k

Wilcoxon differential expression results comparing Cluster 2 (>97% CD14+ Monocytes) against all other clusters in the pbmc3k dataset. Generated via Seurat::FindMarkers() with logfc.threshold = 0 so all genes are retained for downstream GSEA ranking.

Usage

dea_pbmc3k_mono

Format

A data.frame with 2530 rows (all detected genes) and 5 columns:

p_val: Raw p-value from Wilcoxon rank-sum test
avg_log2FC: Average log2 fold-change (Mono vs Others)
pct.1: Percentage of cells in Cluster 2 expressing the gene
pct.2: Percentage of cells in all other clusters expressing the gene
p_val_adj: BH-adjusted p-value

Row names are HGNC gene symbols.

Source

Seurat::FindMarkers(ident.1 = "2") on pbmc3k dataset.

Examples

data(dea_pbmc3k_mono)
head(dea_pbmc3k_mono)
#>                p_val avg_log2FC pct.1 pct.2     p_val_adj
#> S100A8  0.000000e+00  107.06441 0.970 0.120  0.000000e+00
#> LGALS2  0.000000e+00   44.27975 0.905 0.058  0.000000e+00
#> S100A9  0.000000e+00  186.82737 0.996 0.213  0.000000e+00
#> FCN1   1.196034e-319   31.00664 0.955 0.146 1.640241e-315
#> CD14   2.584069e-299   16.66226 0.665 0.027 3.543793e-295
#> MS4A6A 1.714710e-276   42.55068 0.682 0.041 2.351553e-272