MLSeq

Machine learning interface for RNA-Seq data

Bioconductor version: Release (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>

To install this package, start R and enter:

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

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

Documentation

PDF R Script MLSeq
PDF   Reference Manual
Text   README

Details

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
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Package Downloads

Package Source MLSeq_1.0.0.tar.gz
Windows Binary MLSeq_1.0.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) MLSeq_1.0.0.tgz
Mac OS X 10.9 (Mavericks) MLSeq_1.0.0.tgz
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