DOI: 10.18129/B9.bioc.RNAmodR.ML  

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

Detecting patterns of post-transcriptional modifications using machine learning

Bioconductor version: Development (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>

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biocViews Infrastructure, Sequencing, Software, Visualization, WorkflowStep
Version 1.17.0
In Bioconductor since BioC 3.10 (R-3.6) (4 years)
License Artistic-2.0
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
URL https://github.com/FelixErnst/RNAmodR.ML
BugReports https://github.com/FelixErnst/RNAmodR.ML/issues
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Source Package RNAmodR.ML_1.17.0.tar.gz
Windows Binary RNAmodR.ML_1.17.0.zip (64-bit only)
macOS Binary (x86_64) RNAmodR.ML_1.17.0.tgz
macOS Binary (arm64)
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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