Package: enrichit Title: 'C++' Implementations of Functional Enrichment Analysis Version: 0.2.7 Authors@R: person(given = "Guangchuang", family = "Yu", email = "guangchuangyu@gmail.com", role = c("aut", "cre")) Maintainer: Guangchuang Yu Description: Fast implementations of functional enrichment analysis methods using 'C++' via 'Rcpp'. Currently provides Over-Representation Analysis (ORA), Gene Set Enrichment Analysis (GSEA), design-aware GSEA on RNA-seq counts with per-sample gene set scoring, 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) , the multilevel strategy derived from 'fgsea' by Korotkevich et al. (2021) , and network-based enrichment ideas described by Glaab et al. (2012) . License: Artistic-2.0 Depends: R (>= 3.5.0) Imports: Matrix, methods, Rcpp (>= 1.0.10), rlang, S4Vectors, stats, SummarizedExperiment, yulab.utils (> 0.2.1) LinkingTo: Rcpp, RcppEigen Suggests: AnnotationDbi, BiasedUrn, clusterProfiler, DESeq2, DOSE, fgsea, gson, qvalue, testthat, jsonlite Encoding: UTF-8 URL: https://yulab-smu.top/biomedical-knowledge-mining-book/ Config/roxygen2/version: 8.1.1 NeedsCompilation: yes Packaged: 2026-10-28 19:37:03 UTC; root Author: Guangchuang Yu [aut, cre] Config/pak/sysreqs: zlib1g-dev Repository: https://cran.r-universe.dev Date/Publication: 2026-10-28 05:50:02 UTC RemoteUrl: https://github.com/cran/enrichit RemoteRef: HEAD RemoteSha: 3640c139e323b819a6780eb8d368d8288077c3d8