MLSeq
This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see MLSeq.
Machine Learning Interface for RNA-Seq Data
Bioconductor version: 3.13
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("MLSeq")
):
Installation
To install this package, start R (version "4.1") 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 | R Script | |
Reference Manual | ||
NEWS | Text |
Details
biocViews | Classification, Clustering, ImmunoOncology, RNASeq, Sequencing, Software |
Version | 2.10.0 |
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_2.10.0.tar.gz |
Windows Binary | MLSeq_2.10.0.zip |
macOS 10.13 (High Sierra) | MLSeq_2.10.0.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 |
Old Source Packages for BioC 3.13 | Source Archive |