MLSeq
Machine Learning Interface for RNA-Seq Data
Bioconductor version: 3.23 · Package version: 2.30.0
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) |
| Downloads rank | 627 |
| Source branch | RELEASE_3_23 |
| biocViews | Classification, Clustering, ImmunoOncology, RNASeq, Sequencing, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | MLSeq_2.30.0.tar.gz |
| Windows binary (x86_64) | MLSeq_2.30.0.zip |
| macOS binary (arm64) | MLSeq_2.30.0.tgz |
| macOS binary (x86_64) | MLSeq_2.30.0.tgz |
Dependencies
Imports: testthat, VennDiagram, pamr, methods, DESeq2, edgeR, limma, Biobase, SummarizedExperiment, plyr, foreach, utils, sSeq, xtable
Reverse dependencies
Imports Me (1): GARS