Package: receptLoss 1.19.0

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

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NEWS

# Install 'receptLoss' in R:

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

Datasets:

nhrs - Table of Nuclear Hormone Receptors

On BioConductor:receptLoss-1.19.0(bioc 3.21)receptLoss-1.18.0(bioc 3.20)

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

geneexpression statisticalmethod

4.00 score 2 scripts 131 downloads 1 mentions 3 exports 61 dependencies

Last updated 2 months agofrom:f57ea9f151. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 27 2024
R-4.5-win	OK	Nov 27 2024
R-4.5-linux	OK	Nov 27 2024
R-4.4-win	OK	Nov 27 2024
R-4.4-mac	OK	Nov 27 2024
R-4.3-win	OK	Nov 27 2024
R-4.3-mac	OK	Nov 27 2024