Package: receptLoss 1.24.0

Daniel Pique

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.

Authors:Daniel Pique, John Greally, Jessica Mar

receptLoss_1.24.0.tar.gz
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manual.pdf |manual.html✨
card.svg |card.png
receptLoss/json (API)
NEWS

# Install 'receptLoss' in R:

install.packages('receptLoss', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

nhrs - Table of Nuclear Hormone Receptors

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

geneexpression statisticalmethod

3.18 score 5 scripts 218 downloads 1 mentions 3 exports 45 dependencies

Last updated from:08b1730596 (on RELEASE_3_23). Checks:8 ERROR, 2 OK. Indexed: no.

Target	Result	Time
bioc-checks	ERROR	175
linux-devel-x86_64	ERROR	280
source / vignettes	OK	220
linux-release-x86_64	ERROR	267
macos-release-arm64	ERROR	184
macos-oldrel-arm64	ERROR	187
windows-devel	ERROR	230
windows-release	ERROR	302
windows-oldrel	ERROR	185
wasm-release	OK	124