RNAmodR.ML
Detecting patterns of post-transcriptional modifications using machine learning
Bioconductor version: 3.23 · Package version: 1.26.0
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
| Maintainer | Felix G.M. Ernst <felix.gm.ernst@outlook.com> |
| Author | Felix G.M. Ernst [aut, cre] (ORCID: <https://orcid.org/0000-0001-5064-0928>), Denis L.J. Lafontaine [ctb] |
| License | Artistic-2.0 |
| URL | https://github.com/FelixErnst/RNAmodR.ML |
| Bug Reports | https://github.com/FelixErnst/RNAmodR.ML/issues |
| Downloads rank | 315 |
| Source branch | RELEASE_3_23 |
| biocViews | Infrastructure, Sequencing, Software, Visualization, WorkflowStep |
Documentation
Download
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