DOI: 10.18129/B9.bioc.MLSeq  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see MLSeq.

Machine Learning Interface for RNA-Seq Data

Bioconductor version: 3.16

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>

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


To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))


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:



PDF R Script Beginner's guide to the "MLSeq" package
PDF   Reference Manual
Text   NEWS


biocViews Classification, Clustering, ImmunoOncology, RNASeq, Sequencing, Software
Version 2.16.0
In Bioconductor since BioC 2.14 (R-3.1) (9 years)
License GPL(>=2)
Depends caret, ggplot2
Imports testthat, VennDiagram, pamr, methods, DESeq2, edgeR, limma, Biobase, SummarizedExperiment, plyr, foreach, utils, sSeq, xtable
Suggests knitr, e1071, kernlab
Depends On Me
Imports Me GARS
Suggests Me
Links To Me
Build Report  

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

Source Package MLSeq_2.16.0.tar.gz
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macOS Binary (arm64) MLSeq_2.16.0.tgz
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