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This is the development version of MLSeq; for the stable release version, see MLSeq.

Machine learning interface for RNA-Seq data

Bioconductor version: Development (3.0)

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>

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


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PDF R Script MLSeq
PDF   Reference Manual


biocViews Classification, Clustering, Software
Version 1.1.6
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
Depends On Me
Imports Me
Suggests Me

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Package Source MLSeq_1.1.6.tar.gz
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Mac OS X 10.6 (Snow Leopard) MLSeq_1.1.6.tgz
Mac OS X 10.9 (Mavericks) MLSeq_1.1.6.tgz
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