Package: MLSeq
Type: Package
Title: Machine Learning Interface for RNA-Seq Data
Version: 2.30.0
Date: 2021-08-14
Authors@R: c(person("Gokmen", "Zararsiz", role = c("aut", "cre"), email = "gokmenzararsiz@hotmail.com"),
  person("Dincer", "Goksuluk", role = "aut"),
  person("Selcuk", "Korkmaz", role = "aut"),
  person("Vahap", "Eldem", role = "aut"),
  person(c("Izzet", "Parug"), "Duru", role = "ctb"),
  person("Ahmet", "Ozturk", role = "aut"),
  person(c("Ahmet", "Ergun"), "Karaagaoglu", role = c("aut", "ths")))
Depends: caret, ggplot2
VignetteBuilder: knitr
Suggests: knitr, e1071, kernlab
Imports: testthat, VennDiagram, pamr, methods, DESeq2, edgeR, limma,
        Biobase, SummarizedExperiment, plyr, foreach, utils, sSeq,
        xtable
biocViews: ImmunoOncology, Sequencing, RNASeq, Classification,
        Clustering
Description: This package applies several machine learning methods, including SVM, bagSVM, Random Forest and CART to RNA-Seq data.
License: GPL(>=2)
NeedsCompilation: no
Encoding: UTF-8
RoxygenNote: 7.1.1
Collate: 'all_classes.R' 'all_generics.R' 'voomFunctions.R'
        'classify.R' 'helper_functions.R' 'predict.R' 'methods.R'
        'onAttach.R' 'package_and_suppl.R' 'plda_nblda_functions.R'
git_url: https://git.bioconductor.org/packages/MLSeq
git_branch: RELEASE_3_23
git_last_commit: aba36ef
git_last_commit_date: 2026-04-28
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28
Packaged: 2026-04-28 23:20:25 UTC; biocbuild
Author: Gokmen Zararsiz [aut, cre],
  Dincer Goksuluk [aut],
  Selcuk Korkmaz [aut],
  Vahap Eldem [aut],
  Izzet Parug Duru [ctb],
  Ahmet Ozturk [aut],
  Ahmet Ergun Karaagaoglu [aut, ths]
Maintainer: Gokmen Zararsiz <gokmenzararsiz@hotmail.com>
Built: R 4.6.1; ; 2026-08-13 16:51:39 UTC; unix
