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RNAmodR.ML

Detecting patterns of post-transcriptional modifications using machine learning

Bioconductor version: 3.24 · Package version: 1.27.0

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.

Installation

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

BiocManager::install("RNAmodR.ML")

Details

MaintainerFelix G.M. Ernst <felix.gm.ernst@outlook.com>
AuthorFelix G.M. Ernst [aut, cre] (ORCID: <https://orcid.org/0000-0001-5064-0928>), Denis L.J. Lafontaine [ctb]
LicenseArtistic-2.0
URLhttps://github.com/FelixErnst/RNAmodR.ML
Bug Reportshttps://github.com/FelixErnst/RNAmodR.ML/issues
Downloads rank497
Source branchdevel
biocViewsInfrastructure, Sequencing, Software, Visualization, WorkflowStep

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageRNAmodR.ML_1.27.0.tar.gz
Windows binary (x86_64)RNAmodR.ML_1.27.0.zip
macOS binary (arm64)RNAmodR.ML_1.27.0.tgz
macOS binary (x86_64)RNAmodR.ML_1.27.0.tgz
Dependencies

Depends: R (>= 3.6), RNAmodR

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

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