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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

Documentation:

Reference manual: ifCNVR.pdf

Downloads:

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

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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