Bioconductor version: Release (3.15)
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 med.einstein.yu.edu>
Citation (from within R,
enter citation("receptLoss")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("receptLoss")
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:
browseVignettes("receptLoss")
HTML | R Script | receptLoss |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | GeneExpression, Software, StatisticalMethod |
Version | 1.8.0 |
In Bioconductor since | BioC 3.11 (R-4.0) (2.5 years) |
License | GPL-3 + file LICENSE |
Depends | R (>= 3.6.0) |
Imports | dplyr, ggplot2, magrittr, tidyr, SummarizedExperiment |
LinkingTo | |
Suggests | knitr, rmarkdown, testthat (>= 2.1.0), here |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | receptLoss_1.8.0.tar.gz |
Windows Binary | receptLoss_1.8.0.zip (64-bit only) |
macOS Binary (x86_64) | receptLoss_1.8.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/receptLoss |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/receptLoss |
Package Short Url | https://bioconductor.org/packages/receptLoss/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.15 | Source Archive |
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