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 [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

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