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
| Maintainer | Daniel Pique <daniel.pique@med.einstein.yu.edu> |
| Author | Daniel Pique, John Greally, Jessica Mar |
| License | GPL-3 + file LICENSE |
| Status | Deprecated |
| Downloads rank | 129 |
| Source branch | RELEASE_3_23 |
| biocViews | GeneExpression, Software, StatisticalMethod |
Documentation
Download
Dependencies
Depends: R (>= 3.6.0)
Imports: dplyr, ggplot2, magrittr, tidyr, SummarizedExperiment
Suggests: knitr, rmarkdown, testthat (>= 2.1.0), here