MLSeq

This package is for version 3.6 of Bioconductor; for the stable, up-to-date release version, see MLSeq.

Machine learning interface for RNA-Seq data

Bioconductor version: 3.6

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 hotmail.com>

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

To install this package, start R (version "3.4") and enter:


if (!require("BiocManager", quietly = TRUE))
 install.packages("BiocManager")
BiocManager::install("MLSeq")

For older versions of R, please refer to the appropriate Bioconductor release.

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

browseVignettes("MLSeq")

MLSeq PDF R Script

Reference Manual PDF

README Text

Version 1.18.0

In Bioconductor since BioC 2.14 (R-3.1) (10 years)

License GPL(>=2)

Depends R (>= 3.0.0), caret, DESeq2, Biobase, limma, randomForest, edgeR

Imports methods

System Requirements

URL

Suggests knitr, e1071, kernlab, earth, ellipse, fastICA, gam, ipred, klaR, MASS, mda, mgcv, mlbench, nnet, party, pls, pROC, proxy, RANN, spls, affy

Linking To

Enhances

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Build Report Build Report

Follow Installation instructions to use this package in your R session.

Source Package MLSeq_1.18.0.tar.gz

Windows Binary MLSeq_1.18.0.zip

Mac OS X 10.11 (El Capitan) MLSeq_1.18.0.tgz

Source Repository git clone https://git.bioconductor.org/packages/MLSeq

Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/MLSeq

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Old Source Packages for BioC 3.6 Source Archive