MLSeq
Machine Learning Interface for RNA-Seq Data
Bioconductor version: 3.24 · Package version: 2.31.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
This package applies several machine learning methods, including SVM, bagSVM, Random Forest and CART to RNA-Seq data.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("MLSeq")Details
| Maintainer | Gokmen Zararsiz <gokmenzararsiz@hotmail.com> |
| 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] |
| License | GPL(>=2) |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | Classification, Clustering, ImmunoOncology, RNASeq, Sequencing, Software |
| Package Short Url | https://bioconductor.org/packages/MLSeq/ |
Citation
From within R, enter citation("MLSeq"):
Gokmen Zararsiz, Dincer Goksuluk, Selcuk Korkmaz, Vahap Eldem, Ahmet Ozturk, Ahmet Ergun Karaagaoglu. MLSeq: Machine Learning Interface for RNA-Seq Data. doi:10.18129/B9.bioc.MLSeq, R package version 2.31.0, https://bioconductor.org/packages/MLSeq.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | MLSeq_2.31.0.tar.gz |
| Windows binary (x86_64) | MLSeq_2.31.0.zip |
| macOS binary (arm64) | MLSeq_2.31.0.tgz |
| macOS binary (x86_64) | MLSeq_2.31.0.tgz |
Dependencies
Imports: testthat, VennDiagram, pamr, methods, DESeq2, edgeR, limma, Biobase, SummarizedExperiment, plyr, foreach, utils, sSeq, xtable
Reverse dependencies
Imports Me (1): GARS