RNAmodR.ML: Detecting patterns of post-transcriptional modifications using machine learning

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.

Package details

AuthorFelix G.M. Ernst [aut, cre] (<https://orcid.org/0000-0001-5064-0928>), Denis L.J. Lafontaine [ctb]
Bioconductor views Infrastructure Sequencing Software Visualization WorkflowStep
MaintainerFelix G.M. Ernst <[email protected]>
LicenseArtistic-2.0
Version1.0.0
URL https://github.com/FelixErnst/RNAmodR.ML
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("RNAmodR.ML")

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RNAmodR.ML documentation built on Oct. 31, 2019, 10:03 a.m.