To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("MLSeq")

In most cases, you don't need to download the package archive at all.

MLSeq

Machine learning interface for RNA-Seq data

Bioconductor version: 2.14

This package applies several machine learning methods, including SVM, bagSVM, Random Forest and CART, to RNA-Seq data.

Author: Gokmen Zararsiz, Dincer Goksuluk, Selcuk Korkmaz, Vahap Eldem, Izzet Parug Duru, Turgay Unver, Ahmet Ozturk

Maintainer: Gokmen Zararsiz <gokmenzararsiz at erciyes.edu.tr>

Citation (from within R, enter citation("MLSeq")):

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("MLSeq")

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("MLSeq")

biocViews	Bioinformatics, Classification, Clustering, Software
Version	1.0.0
In Bioconductor since	BioC 2.14 (R-3.1)
License	GPL(>=2)
Depends	R (>= 3.0.0), caret, DESeq2, Biobase, limma, randomForest, edgeR
Imports	methods
Suggests	knitr, e1071, kernlab, earth, ellipse, fastICA, gam, ipred, klaR, MASS, mda, mgcv, mlbench, nnet, party, pls, pROC, proxy, RANN, spls, affy
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

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