Carry out network-based gene set analysis by incorporating external information about interactions among genes, as well as novel interactions learned from data. Implements methods described in Shojaie A, Michailidis G (2010) <doi:10.1093/biomet/asq038>, Shojaie A, Michailidis G (2009) <doi:10.1089/cmb.2008.0081>, and Ma J, Shojaie A, Michailidis G (2016) <doi:10.1093/bioinformatics/btw410>.
Version: 4.0.5 Depends: R (≥ 3.5.0) Imports: AnnotationDbi, corpcor, data.table, dplyr, genefilter, graph, graphite, glmnet, glassoFast, httr, igraph, magrittr, Matrix, msigdbr, org.Hs.eg.db, quadprog, RCy3, reshape2, rlang, Rcpp (≥ 1.0.2) LinkingTo: Rcpp, RcppEigen Suggests: knitr, MASS, rmarkdown Published: 2023-11-14 DOI: 10.32614/CRAN.package.netgsa Author: Michael Hellstern [aut, cre], Ali Shojaie [aut], Jing Ma [aut], Kun Yue [aut] Maintainer: Michael Hellstern <mikeh1 at uw.edu> License: GPL (≥ 3) URL: https://github.com/mikehellstern/netgsa NeedsCompilation: yes Materials: README NEWS In views: Omics CRAN checks: netgsa results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=netgsa to link to this page.
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