Julia implementation of the next generation GSEA 🏔️
Gene Set Clustering based on Functional annotation
Gene Set Enrichment Class Analysis for heterogeneous RNA sequencing data
Expression-matched gene-set scoring for bulk RNA-seq
enabling pathway analysis of curated chip-seq data
Context-aware restriction of the Gene Ontology (GO) for enrichment analysis.
condense GSEA terms
Directional Methylation Set Analysis — aligns probe-level DNA methylation effects to their predicted consequence for gene expression before aggregation, and names the responsible gene inside level-local families with family-wise error control.
A resource of gene expression signatures derived from the DEE2 dataset (http://dee2.io)
benchsiDE: validated, client-side RNA-seq differential expression and discovery analysis
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