Package: MLSeq
Type: Package
Title: Machine learning interface for RNA-Seq data
Version: 1.6.0
Date: 2015-02-17
Author: Gokmen Zararsiz, Dincer Goksuluk, Selcuk Korkmaz, Vahap Eldem, Izzet
    Parug Duru, Turgay Unver, Ahmet Ozturk
Maintainer: Gokmen Zararsiz <gokmenzararsiz@erciyes.edu.tr>
Depends: R (>= 3.0.0), caret, DESeq2, Biobase, limma, randomForest,
        edgeR
VignetteBuilder: knitr
Suggests: knitr, e1071, kernlab, earth, ellipse, fastICA, gam, ipred,
        klaR, MASS, mda, mgcv, mlbench, nnet, party, pls, pROC, proxy,
        RANN, spls, affy
Imports: methods
Collate: class.R generics.R methods.R classify.R predictClassify.R
biocViews: 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)
Packaged: 2015-04-17 04:57:15 UTC; biocbuild
NeedsCompilation: no
Built: R 3.2.0; ; 2015-04-17 10:55:31 UTC; windows
