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Provides a complete seven-step workflow for copy number variation (CNV) analysis applicable to any disease or condition where samples with genomic copy number data is available. Supports built-in grading and risk stratification presets for seven major cancers (viz. prostate, breast, colorectal, lung, cervical, lymphoma, melanoma) based on clinically validated systems including ISUP Grade Groups, Nottingham Grading System, Dukes staging, IASLC TNM, FIGO, Ann Arbor/Lugano classification, and Breslow depth. Generalizable to other disease types. An automatic mode derives a normalised Risk Score from the data using min-max normalisation and adaptive binning. Custom user-defined thresholds are supported for any other disease type. Downstream functions for CNV aberration detection, recurrence analysis, gene annotation, CNV matrix generation, and CNV-RNA expression correlation are disease-type agnostic.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | dplyr, GenomicRanges, rlang, S4Vectors, stats, tidyr, tools, utils |
| Suggests: | BiocManager, knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-06-05 |
| DOI: | 10.32614/CRAN.package.RiskyCNV (may not be active yet) |
| Author: | Ashok Palaniappan |
| Maintainer: | Ashok Palaniappan <apalania at scbt.sastra.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | RiskyCNV results |
| Reference manual: | RiskyCNV.html , RiskyCNV.pdf |
| Vignettes: |
RiskyCNV: A Prostate Cancer Case Study Using TCGA-PRAD Data (source, R code) |
| Package source: | RiskyCNV_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): RiskyCNV_0.1.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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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.