Gene Ranking by Cross-Study Significance Across Differential-Expression Studies

This page ranks genes by their aggregate cross-study significance across the differential-expression (DEG) studiesin SSPsyGene — RNA-seq differential expression and perturbation differential-expression assays (Perturb-seq / ECCITE-seq / bulk-RNA). The combination is deliberately restricted to these comparable assays, so the ranking stays interpretable and doesn't reshuffle when datasets of other assay types (regulatory-network edges, cell-proportion shifts, curated lists) are added. It identifies genes with the strongest cumulative p-values across multiple experiments, highlighting candidates for follow-up analysis, cross-study validation, or pathway enrichment. Use the method selector below to compare how rankings change depending on the statistical combination approach.

Note on combined p-values. The values below are computed from the raw, unadjusted per-study p-values reported by each dataset (not from the FDR-adjusted columns). Combining many small nominal p-values can produce extreme combined p-values — that's expected, and it's what allows the ranking to highlight genes with consistent cross-study evidence. See the methods page for the exact pipeline.

Browse significant rows (< 0.05) by individual dataset →