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pbcmc

Bioc removed

Permutation-Based Confidence for Molecular Classification

v1.10.1 · GPL (>=2)

Release Lineage

Entered 3.3 · May 4, 2016

Removed after 3.8 · Oct 31, 2018

1.0 In 6 of 49 releases 3.23

Description

The pbcmc package characterizes uncertainty assessment on gene expression classifiers, a. k. a. molecular signatures, based on a permutation test. In order to achieve this goal, synthetic simulated subjects are obtained by permutations of gene labels. Then, each synthetic subject is tested against the corresponding subtype classifier to build the null distribution. Thus, classification confidence measurement can be provided for each subject, to assist physician therapy choice. At present, it is only available for PAM50 implementation in genefu package but it can easily be extend to other molecular signatures.

Advisories

None published for Bioconductor

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Code

Code metrics have not been computed for this package yet.

Topics

Available on

CRANr2uBioconductorautoCRANCOPR

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Cite

Cite this package

Run in R for the authors' preferred citation:

citation("pbcmc")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for pbcmc version 1.10.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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