RNAmodR.ML

DOI: 10.18129/B9.bioc.RNAmodR.ML    

Detecting patterns of post-transcriptional modifications using machine learning

Bioconductor version: Release (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>

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