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RNAmodR.ML

This is the released version of RNAmodR.ML; for the devel version, see RNAmodR.ML.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10

Detecting patterns of post-transcriptional modifications using machine learning

DOI: 10.18129/B9.bioc.RNAmodR.ML

Bioconductor version: Release (3.23)

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] ORCID: 0000-0001-5064-0928 , Denis L.J. Lafontaine [ctb]

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

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

Felix G.M. Ernst. RNAmodR.ML: Detecting patterns of post-transcriptional modifications using machine learning. doi:10.18129/B9.bioc.RNAmodR.ML, R package version 1.26.0, https://bioconductor.org/packages/RNAmodR.ML.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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")

Details

Package Archives

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