enrichit
0.2.1'C++' Implementations of Functional Enrichment Analysis
Overview
Fast implementations of functional enrichment analysis methods using 'C++' via 'Rcpp'. Currently provides Over-Representation Analysis (ORA), Gene Set Enrichment Analysis (GSEA), Weighted Enrichment Analysis for ORA and GSEA, Network-based Set Enrichment Analysis (NSEA), multi-layer network-based enrichment, and multi-omics integration workflows. Additional features include early fusion at the feature level, late fusion at the pathway level, multi-omics contribution tracing, topology-aware explanation helpers, Bayesian term selection, and extremely fast Random Walk with Restart (RWR) using 'RcppEigen'. The enrichment methods build on GSEA by Subramanian et al. (2005) doi:10.1073/pnas.0506580102, the multilevel strategy derived from 'fgsea' by Korotkevich et al. (2021) doi:10.1101/060012, and network-based enrichment ideas described by Glaab et al. (2012) doi:10.1093/bioinformatics/bts389.
Install
Health
- OK2026-08-0813 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-07-1112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 50%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
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Code & Tests
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Package metadata
- First published
- 2025-12-22
- Total releases
- 10 / 1 yrs
- License
- Artistic-2.0 OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 76 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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