ifCNVR: Isolation-Forest Based 'CNV' Detection from 'NGS' Data

Automatically detects Copy Number Variations (CNV) from Next Generation Sequencing data using a machine learning algorithm, Isolation forest. More details about the method can be found in the paper by Cabello-Aguilar (2022) <doi:10.1101/2022.01.03.474771>.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: data.table, rmarkdown, isotree
Published: 2022-02-15
DOI: 10.32614/CRAN.package.ifCNVR
Author: Simon Cabello-Aguilar ORCID iD [aut, cre]
Maintainer: Simon Cabello-Aguilar <s-cabelloaguilar at chu-montpellier.fr>
License: GPL-3
URL: https://github.com/SimCab-CHU/ifCNVR
NeedsCompilation: no
Materials: NEWS
CRAN checks: ifCNVR results


Reference manual: ifCNVR.pdf


Package source: ifCNVR_0.1.0.tar.gz
Windows binaries: r-devel: ifCNVR_0.1.0.zip, r-release: ifCNVR_0.1.0.zip, r-oldrel: ifCNVR_0.1.0.zip
macOS binaries: r-release (arm64): ifCNVR_0.1.0.tgz, r-oldrel (arm64): ifCNVR_0.1.0.tgz, r-release (x86_64): ifCNVR_0.1.0.tgz, r-oldrel (x86_64): ifCNVR_0.1.0.tgz


Please use the canonical form https://CRAN.R-project.org/package=ifCNVR to link to this page.