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receptLoss

Unsupervised Identification of Genes with Expression Loss in Subsets of Tumors

Bioconductor version: 3.23 · Package version: 1.24.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("receptLoss")

Details

MaintainerDaniel Pique <daniel.pique@med.einstein.yu.edu>
AuthorDaniel Pique, John Greally, Jessica Mar
LicenseGPL-3 + file LICENSE
StatusDeprecated
Downloads rank129
Source branchRELEASE_3_23
biocViewsGeneExpression, Software, StatisticalMethod

Documentation

Download

Dependencies

Depends: R (>= 3.6.0)

Imports: dplyr, ggplot2, magrittr, tidyr, SummarizedExperiment

Suggests: knitr, rmarkdown, testthat (>= 2.1.0), here