MLSeq

DOI: 10.18129/B9.bioc.MLSeq  

Machine Learning Interface for RNA-Seq Data

Bioconductor version: Release (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 hotmail.com>

Installation

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

 

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

Details

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
LinkingTo
Suggests	knitr, e1071, kernlab
SystemRequirements
Enhances
URL
Depends On Me
Imports Me	GARS
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	MLSeq_2.16.0.tar.gz
Windows Binary	MLSeq_2.16.0.zip
macOS Binary (x86_64)	MLSeq_2.16.0.tgz
macOS Binary (arm64)	MLSeq_2.16.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/MLSeq
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/MLSeq
Bioc Package Browser	https://code.bioconductor.org/browse/MLSeq/
Package Short Url	https://bioconductor.org/packages/MLSeq/
Package Downloads Report	Download Stats