Package: netboost
Type: Package
Title: Network Analysis Supported by Boosting
Version: 2.19.0
Date: 2024-06-12
Authors@R: c(person("Pascal", "Schlosser", role = c("aut", "cre"),
                    email = "pascal.schlosser@uniklinik-freiburg.de"),
             person("Jochen", "Knaus", role = c("aut", "ctb"),
                    email = "jo@imbi.uni-freiburg.de"),
             person("Yaniv", "Loewenstein", role = c("aut")))
Description: Boosting supported network analysis for high-dimensional omics applications. 
    This package comes bundled with the MC-UPGMA clustering package by Yaniv Loewenstein.
Depends:
  R (>= 4.0.0)
biocViews:
  Software,
  StatisticalMethod,
  GraphAndNetwork,
  Network,
  Clustering,
  DimensionReduction,
  BiomedicalInformatics,
  Epigenetics,
  Metabolomics,
  Transcriptomics
Imports:
  Rcpp,
  RcppParallel,
  parallel,
  grDevices,
  graphics,
  stats,
  utils,
  dynamicTreeCut,
  WGCNA,
  impute,
  colorspace,
  methods,
  BiocStyle,
  R.utils
LinkingTo:
  Rcpp,
  RcppParallel
Suggests:
  knitr,
  rmarkdown
VignetteBuilder: knitr
SystemRequirements:
  GNU make,
  Bash,
  Perl,
  Gzip
OS_type: unix
ByteCompile: yes
NeedsCompilation: yes
LazyData: true
License: GPL-3
URL: https://bioconductor.org/packages/release/bioc/html/netboost.html
BugReports: pascal.schlosser@uniklinik-freiburg.de
Encoding: UTF-8
RoxygenNote: 7.2.3
git_url: https://git.bioconductor.org/packages/netboost
git_branch: devel
git_last_commit: cd295da
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.23
