receptLoss: Unsupervised Identification of Genes with Expression Loss in Subsets of Tumors

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.

Package details

AuthorDaniel Pique, John Greally, Jessica Mar
Bioconductor views GeneExpression StatisticalMethod
MaintainerDaniel Pique <>
LicenseGPL-3 + file LICENSE
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


Try the receptLoss package in your browser

Any scripts or data that you put into this service are public.

receptLoss documentation built on Nov. 8, 2020, 5:59 p.m.