DOI: 10.18129/B9.bioc.receptLoss  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see receptLoss.

Unsupervised Identification of Genes with Expression Loss in Subsets of Tumors

Bioconductor version: 3.17

receptLoss identifies genes whose expression is lost in subsets of tumors relative to normal tissue. It is particularly well-suited in cases where the number of normal tissue samples is small, as the distribution of gene expression in normal tissue samples is approximated by a Gaussian. Originally designed for identifying nuclear hormone receptor expression loss but can be applied transcriptome wide as well.

Author: Daniel Pique, John Greally, Jessica Mar

Maintainer: Daniel Pique <daniel.pique at>

Citation (from within R, enter citation("receptLoss")):


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biocViews GeneExpression, Software, StatisticalMethod
Version 1.12.0
In Bioconductor since BioC 3.11 (R-4.0) (3.5 years)
License GPL-3 + file LICENSE
Depends R (>= 3.6.0)
Imports dplyr, ggplot2, magrittr, tidyr, SummarizedExperiment
Suggests knitr, rmarkdown, testthat (>= 2.1.0), here
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