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RiskyCNV  

Risk Analysis of Genomic Copy Number Variation
View on CRAN: Click here


Download and install RiskyCNV package within the R console
Install from CRAN:
install.packages("RiskyCNV")

Install from Github:
library("remotes")
install_github("cran/RiskyCNV")

Install by package version:
library("remotes")
install_version("RiskyCNV", "0.1.0")



Attach the package and use:
library("RiskyCNV")
Maintained by
Ashok Palaniappan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-05
Latest Update: 2026-06-05
Description:
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.
How to cite:
Ashok Palaniappan (2026). RiskyCNV: Risk Analysis of Genomic Copy Number Variation. R package version 0.1.0, https://cran.r-project.org/web/packages/RiskyCNV. Accessed 16 Jul. 2026.
Previous versions and publish date:
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Complete documentation for RiskyCNV
Functions, R codes and Examples using the RiskyCNV R package
Full RiskyCNV package functions and examples
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