RNAmodR.ML (development version) (original) (raw)

This is the development version of RNAmodR.ML; for the stable release version, seeRNAmodR.ML.

Detecting patterns of post-transcriptional modifications using machine learning

Bioconductor version: Development (3.22)

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 iD 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")):

Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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

biocViews Infrastructure, Sequencing, Software, Visualization, WorkflowStep
Version 1.23.0
In Bioconductor since BioC 3.10 (R-3.6) (5.5 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

See More

Suggests BiocStyle, knitr, rmarkdown, testthat, RNAmodR.Data, RNAmodR.AlkAnilineSeq, GenomicFeatures, Rsamtools, rtracklayer, keras
Linking To
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Depends On Me
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Package Archives

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

Source Package RNAmodR.ML_1.23.0.tar.gz
Windows Binary (x86_64) RNAmodR.ML_1.23.0.zip (64-bit only)
macOS Binary (x86_64) RNAmodR.ML_1.23.0.tgz
macOS Binary (arm64) RNAmodR.ML_1.23.0.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/
Package Downloads Report Download Stats