Package: MLSeq
Type: Package
Title: Machine Learning Interface for RNA-Seq Data
Version: 2.31.0
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'
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:38:46 UTC
RemoteUrl: https://github.com/bioc/MLSeq
RemoteRef: HEAD
RemoteSha: f69a70062c67e50794919f6a4ab5a57a145f0b43
Packaged: 2026-07-03 20:37:32 UTC; root
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>