RiskyCNV: Risk Analysis of Genomic Copy Number Variation

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.

Package details

AuthorAshok Palaniappan [aut, cre] (ORCID: <https://orcid.org/0000-0003-2841-9527>), Priyanka Ramesh [aut], Ida Titus [aut], Sangeetha Muthamilselvan [aut]
Bioconductor views CopyNumberVariation GenomicVariation RNASeq
MaintainerAshok Palaniappan <apalania@scbt.sastra.edu>
LicenseMIT + file LICENSE
Version0.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("RiskyCNV")

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RiskyCNV documentation built on June 5, 2026, 5:07 p.m.