MLSeq
This is the development version of MLSeq; for the stable release version, see MLSeq.
Machine Learning Interface for RNA-Seq Data
Bioconductor version: Development (3.19)
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 (from within R, enter
citation("MLSeq")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("MLSeq")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
| Reference Manual |
Details
| biocViews | Classification, Clustering, ImmunoOncology, RNASeq, Sequencing, Software |
| Version | 2.21.0 |
| In Bioconductor since | BioC 2.14 (R-3.1) (10 years) |
| License | GPL(>=2) |
| Depends | caret, ggplot2 |
| Imports | testthat, VennDiagram, pamr, methods, DESeq2, edgeR, limma, Biobase, SummarizedExperiment, plyr, foreach, utils, sSeq, xtable |
| System Requirements | |
| URL |
See More
| Suggests | knitr, e1071, kernlab |
| 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 | |
| Windows Binary | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| 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 |