Package: RiskyCNV 0.1.0

Ashok Palaniappan

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.

Authors:Ashok Palaniappan [aut, cre], Priyanka Ramesh [aut], Ida Titus [aut], Sangeetha Muthamilselvan [aut]

RiskyCNV_0.1.0.tar.gz
RiskyCNV_0.1.0.tar.gz(r-4.7-any)RiskyCNV_0.1.0.tar.gz(r-4.6-any)
RiskyCNV_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
RiskyCNV/json (API)

# Install 'RiskyCNV' in R:
install.packages('RiskyCNV', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

copynumbervariationgenomicvariationrnaseq

2.00 score 7 exports 25 dependencies

Last updated from:35b5ea4dbc. Checks:4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK158
source / vignettesOK219
linux-release-x86_64OK192
wasm-releaseOK125

Exports:aberrationannotateclassify_riskcorrelate_with_exprcreate_CNVMatrixextract_metadatarecurrent

Dependencies:BiocGenericsclicpp11dplyrgenericsGenomicRangesglueIRangeslifecyclemagrittrpillarpkgconfigpurrrR6rlangS4VectorsSeqinfostringistringrtibbletidyrtidyselectutf8vctrswithr

RiskyCNV: A Prostate Cancer Case Study Using TCGA-PRAD Data

Rendered fromRiskyCNV-workflow.Rmdusingknitr::rmarkdownon Jun 05 2026.

Last update: 2026-06-05
Started: 2026-06-05