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This is the development version of receptLoss; for the stable release version, see receptLoss.

Unsupervised Identification of Genes with Expression Loss in Subsets of Tumors

Bioconductor version: Development (3.20)

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")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


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

receptLoss HTML R Script
Reference Manual PDF


biocViews GeneExpression, Software, StatisticalMethod
Version 1.17.0
In Bioconductor since BioC 3.11 (R-4.0) (4 years)
License GPL-3 + file LICENSE
Depends R (>= 3.6.0)
Imports dplyr, ggplot2, magrittr, tidyr, SummarizedExperiment
System Requirements
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Suggests knitr, rmarkdown, testthat (>= 2.1.0), here
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Source Package receptLoss_1.17.0.tar.gz
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