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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 |
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 |
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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.