MLSeq

This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see MLSeq.

Machine Learning Interface for RNA-Seq Data


Bioconductor version: 3.7

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, Ahmet Ozturk, Ahmet Ergun Karaagaoglu

Maintainer: Gokmen Zararsiz <gokmenzararsiz at hotmail.com>

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

Installation

To install this package, start R (version "3.5") 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")
Beginner's guide to the "MLSeq" package PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews Classification, Clustering, RNASeq, Sequencing, Software
Version 1.20.3
In Bioconductor since BioC 2.14 (R-3.1) (10 years)
License GPL(>=2)
Depends caret, ggplot2
Imports methods, DESeq2, edgeR, limma, Biobase, SummarizedExperiment, plyr, foreach, utils, sSeq, xtable
System Requirements
URL
See More
Suggests knitr, testthat, BiocStyle, VennDiagram, pamr
Linking To
Enhances
Depends On Me
Imports Me GARS
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package MLSeq_1.20.3.tar.gz
Windows Binary MLSeq_1.20.3.zip
Mac OS X 10.11 (El Capitan) MLSeq_1.20.3.tgz
Source Repository git clone https://git.bioconductor.org/packages/MLSeq
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/MLSeq
Package Short Url https://bioconductor.org/packages/MLSeq/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.7 Source Archive