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Bioconductor - MLSeq

MLSeq

This is the released version of MLSeq; for the devel version, see MLSeq.

Machine Learning Interface for RNA-Seq Data

Bioconductor version: Release (3.21)

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

Author: Gokmen Zararsiz [aut, cre], Dincer Goksuluk [aut], Selcuk Korkmaz [aut], Vahap Eldem [aut], Izzet Parug Duru [ctb], Ahmet Ozturk [aut], Ahmet Ergun Karaagaoglu [aut, ths]

Maintainer: Gokmen Zararsiz <gokmenzararsiz at hotmail.com>

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

To install this package, start R (version "4.5") 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.

Documentation

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

browseVignettes("MLSeq")
Details biocViews Classification, Clustering, ImmunoOncology, RNASeq, Sequencing, Software Version 2.26.0 In Bioconductor since BioC 2.14 (R-3.1) (11 years) License GPL(>=2) Depends caret, ggplot2 Imports testthat, VennDiagram, pamr, methods, DESeq2, edgeR, limma, Biobase, SummarizedExperiment, plyr, foreach, utils, sSeq, xtable System Requirements URL See More Package Archives

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

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