Bioconductor version: Release (3.16)
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>
Citation (from within R,
enter citation("RNAmodR.ML")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("RNAmodR.ML")
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:
browseVignettes("RNAmodR.ML")
HTML | R Script | RNAmodR.ML |
Reference Manual | ||
Text | NEWS |
biocViews | Infrastructure, Sequencing, Software, Visualization, WorkflowStep |
Version | 1.12.0 |
In Bioconductor since | BioC 3.10 (R-3.6) (3.5 years) |
License | Artistic-2.0 |
Depends | R (>= 3.6), RNAmodR |
Imports | methods, BiocGenerics, S4Vectors, IRanges, GenomicRanges, stats, ranger |
LinkingTo | |
Suggests | BiocStyle, knitr, rmarkdown, testthat, RNAmodR.Data, RNAmodR.AlkAnilineSeq, GenomicFeatures, Rsamtools, rtracklayer, keras |
SystemRequirements | |
Enhances | |
URL | https://github.com/FelixErnst/RNAmodR.ML |
BugReports | https://github.com/FelixErnst/RNAmodR.ML/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | RNAmodR.ML_1.12.0.tar.gz |
Windows Binary | RNAmodR.ML_1.12.0.zip |
macOS Binary (x86_64) | RNAmodR.ML_1.12.0.tgz |
macOS Binary (arm64) | RNAmodR.ML_1.12.0.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 |
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