pbcmc

DOI: 10.18129/B9.bioc.pbcmc    

Permutation-Based Confidence for Molecular Classification

Bioconductor version: Release (3.6)

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.

Author: Cristobal Fresno, German A. Gonzalez, Andrea S. Llera and Elmer A. Fernandez

Maintainer: Cristobal Fresno <cristobalfresno at gmail.com>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("pbcmc")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("pbcmc")

 

PDF	R Script	PermutationBased Confidence for Molecular Class
PDF		Reference Manual
Text		NEWS

Details

biocViews	Classification, Clustering, DifferentialExpression, GeneExpression, KEGG, Microarray, MultipleComparison, Normalization, OneChannel, QualityControl, RNASeq, Software, TwoChannel, mRNAMicroarray
Version	1.6.0
In Bioconductor since	BioC 3.3 (R-3.3) (2 years)
License	GPL (>=2)
Depends	R (>= 3.4), genefu
Imports	Biobase, BiocGenerics, BiocParallel(>= 1.3.13), parallel, reshape2, grid, utils, cowplot, methods, limma, ggplot2, gridExtra, grDevices, stats
LinkingTo
Suggests	breastCancerUPP, breastCancerNKI, breastCancerVDX, breastCancerTRANSBIG, breastCancerMAINZ, breastCancerUNT
SystemRequirements
Enhances
URL	http://www.bdmg.com.ar/
Depends On Me
Imports Me
Suggests Me	MIGSA
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	pbcmc_1.6.0.tar.gz
Windows Binary	pbcmc_1.6.0.zip
Mac OS X 10.11 (El Capitan)	pbcmc_1.6.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/pbcmc
Package Short Url	http://bioconductor.org/packages/pbcmc/
Package Downloads Report	Download Stats