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RCNA  

Robust Copy Number Alteration Detection (RCNA)
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RCNA", "1.0")



Attach the package and use:
library("RCNA")
Maintained by
Matt Bradley
[Scholar Profile | Author Map]
First Published: 2024-12-03
Latest Update: 2024-12-03
Description:
Detects copy number alteration events in targeted exon sequencing data for tumor samples without matched normal controls. The advantage of this method is that it can be applied to smaller sequencing panels including evaluations of exon, transcript, gene, or even user specified genetic regions of interest. Functions in the package include steps for GC-content correction, calculation of quantile based normal karyotype ranges, and calculation of feature score.Cutoffs for "normal" quantile and score are user-adjustable.
How to cite:
Matt Bradley (2024). RCNA: Robust Copy Number Alteration Detection (RCNA). R package version 1.0, https://cran.r-project.org/web/packages/RCNA. Accessed 21 Feb. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited RCNA R package
View RCNA citation profile
Other R packages that RCNA depends, imports, suggests or enhances
Complete documentation for RCNA
Functions, R codes and Examples using the RCNA R package
Full RCNA package functions and examples
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