MLSeq

Package: MLSeq
Type: Package
Title: Machine learning interface for RNA-Seq data
Version: 1.12.2
Date: 2016-02-29
Author: Gokmen Zararsiz, Dincer Goksuluk, Selcuk Korkmaz, Vahap Eldem, Izzet
Parug Duru, Turgay Unver, Ahmet Ozturk
Maintainer: Gokmen Zararsiz <gokmenzararsiz@hotmail.com>
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: 2016-05-16 04:22:08 UTC; biocbuild
NeedsCompilation: no

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'MLSeq' ...
** R
** data
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'MLSeq'
    finding HTML links ... done
    MLSeq-class                             html  
    MLSeq-package                           html  
    cervical                                html  
    classify                                html  
    confusionMat                            html  
    deseqTransform                          html  
    method                                  html  
    normalization                           html  
    predictClassify                         html  
    ref                                     html  
    trained                                 html  
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (MLSeq)
Making 'packages.html' ... done