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.html ,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:
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