MLSeq
This package is for version 3.6 of Bioconductor; for the stable, up-to-date release version, see MLSeq.
Machine learning interface for RNA-Seq data
Bioconductor version: 3.6
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, Turgay Unver, Ahmet Ozturk
Maintainer: Gokmen Zararsiz <gokmenzararsiz at hotmail.com>
citation("MLSeq")
):
Installation
To install this package, start R (version "3.4") 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")
MLSeq | R Script | |
Reference Manual | ||
README | Text |
Details
biocViews | Classification, Clustering, RNASeq, Sequencing, Software |
Version | 1.18.0 |
In Bioconductor since | BioC 2.14 (R-3.1) (10 years) |
License | GPL(>=2) |
Depends | R (>= 3.0.0), caret, DESeq2, Biobase, limma, randomForest, edgeR |
Imports | methods |
System Requirements | |
URL |
See More
Suggests | knitr, e1071, kernlab, earth, ellipse, fastICA, gam, ipred, klaR, MASS, mda, mgcv, mlbench, nnet, party, pls, pROC, proxy, RANN, spls, affy |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
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_1.18.0.tar.gz |
Windows Binary | MLSeq_1.18.0.zip |
Mac OS X 10.11 (El Capitan) | MLSeq_1.18.0.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 3.6 | Source Archive |