Registration Open for Bioc2024 July 24-26


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 (3.20)

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 < at>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

RNAmodR.ML HTML R Script
Reference Manual PDF


biocViews Infrastructure, Sequencing, Software, Visualization, WorkflowStep
Version 1.19.0
In Bioconductor since BioC 3.10 (R-3.6) (4.5 years)
License Artistic-2.0
Depends R (>= 3.6), RNAmodR
Imports methods, BiocGenerics, S4Vectors, IRanges, GenomicRanges, stats, ranger
System Requirements
Bug Reports
See More
Suggests BiocStyle, knitr, rmarkdown, testthat, RNAmodR.Data, RNAmodR.AlkAnilineSeq, GenomicFeatures, Rsamtools, rtracklayer, keras
Linking To
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package RNAmodR.ML_1.19.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) RNAmodR.ML_1.19.0.tgz
macOS Binary (arm64) RNAmodR.ML_1.19.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
Bioc Package Browser
Package Short Url
Package Downloads Report Download Stats