bio-experimental-design-multiple-testing

What problem does it solve?

This skill provides guidance and practical methods for correcting p-values to control false discoveries in large-scale genomics analyses.

Core Features & Use Cases

• FDR/BH correction: Apply Benjamini-Hochberg adjustment to control the false discovery rate.
• Bonferroni adjustment: Use strict p-value correction for small target sets.
• q-value estimation: Compute q-values to estimate FDR per feature using the qvalue approach.
• Use Case: Differential expression analyses in RNA-seq, GWAS, or high-throughput screening.

Quick Start

Perform BH and Bonferroni corrections on your differential expression p-values to compare corrected results.