RNAmodR.ML

This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see RNAmodR.ML.

Detecting patterns of post-transcriptional modifications using machine learning

Bioconductor version: 3.19

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 "4.4") 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")

RNAmodR.ML HTML R Script

Reference Manual PDF

NEWS Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews Infrastructure, Sequencing, Software, Visualization, WorkflowStep

Version 1.18.0

In Bioconductor since BioC 3.10 (R-3.6) (5 years)

License Artistic-2.0

Depends R (>= 3.6), RNAmodR

Imports methods, BiocGenerics, S4Vectors, IRanges, GenomicRanges, stats, ranger

System Requirements

URL https://github.com/FelixErnst/RNAmodR.ML

Bug Reports https://github.com/FelixErnst/RNAmodR.ML/issues

Suggests BiocStyle, knitr, rmarkdown, testthat, RNAmodR.Data, RNAmodR.AlkAnilineSeq, GenomicFeatures, Rsamtools, rtracklayer, keras

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Package Archives

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

Source Package RNAmodR.ML_1.18.0.tar.gz

Windows Binary (x86_64) RNAmodR.ML_1.18.0.zip

macOS Binary (x86_64) RNAmodR.ML_1.18.0.tgz

macOS Binary (arm64) RNAmodR.ML_1.18.0.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

Bioc Package Browser https://code.bioconductor.org/browse/RNAmodR.ML/

Package Short Url https://bioconductor.org/packages/RNAmodR.ML/

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