RNAmodR.ML

DOI: 10.18129/B9.bioc.RNAmodR.ML    

This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see RNAmodR.ML.

Detecting patterns of post-transcriptional modifications using machine learning

Bioconductor version: 3.15

RNAmodR.ML extend the functionality of the RNAmodR package and classical detection strategies towards detection through machine learning models. RNAmodR.ML provides classes, functions and an example workflow to establish a detection stratedy, which can be packaged.

Author: Felix G.M. Ernst [aut, cre] , Denis L.J. Lafontaine [ctb]

Maintainer: Felix G.M. Ernst <felix.gm.ernst at outlook.com>

Citation (from within R, enter citation("RNAmodR.ML")):

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("RNAmodR.ML")

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("RNAmodR.ML")

 

HTML R Script RNAmodR.ML
PDF   Reference Manual
Text   NEWS

Details

biocViews Infrastructure, Sequencing, Software, Visualization, WorkflowStep
Version 1.10.0
In Bioconductor since BioC 3.10 (R-3.6) (3 years)
License Artistic-2.0
Depends R (>= 3.6), RNAmodR
Imports methods, BiocGenerics, S4Vectors, IRanges, GenomicRanges, stats, ranger
LinkingTo
Suggests BiocStyle, knitr, rmarkdown, testthat, RNAmodR.Data, RNAmodR.AlkAnilineSeq, GenomicFeatures, Rsamtools, rtracklayer, keras
SystemRequirements
Enhances
URL https://github.com/FelixErnst/RNAmodR.ML
BugReports https://github.com/FelixErnst/RNAmodR.ML/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package RNAmodR.ML_1.10.0.tar.gz
Windows Binary RNAmodR.ML_1.10.0.zip
macOS Binary (x86_64) RNAmodR.ML_1.10.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/RNAmodR.ML
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/RNAmodR.ML
Package Short Url https://bioconductor.org/packages/RNAmodR.ML/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: