_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-netgsa 4.0.7
Propagated dependencies: r-annotationdbi@1.74.0 r-corpcor@1.6.10 r-data-table@1.18.4 r-dplyr@1.2.1 r-genefilter@1.94.0 r-glassofast@1.0.1 r-glmnet@5.0 r-graph@1.90.0 r-graphite@1.58.0 r-httr@1.4.8 r-igraph@2.3.1 r-magrittr@2.0.5 r-matrix@1.7-5 r-msigdbr@26.1.0 r-quadprog@1.5-8 r-rcpp@1.1.1-1.1 r-rcppeigen@0.3.4.0.2 r-rcy3@2.32.0 r-reshape2@1.4.5 r-rlang@1.2.0
Channel: guix
Location: gnu/packages/bioconductor.scm (gnu packages bioconductor)
Home page: https://github.com/mikehellstern/netgsa
Licenses: GPL 3+
Build system: r
Synopsis: Network-Based gene set analysis
Description:

This package lets you carry out network-based gene set analysis by incorporating external information about interactions among genes, as well as novel interactions learned from data. It 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>.

Total packages: 1