Package: receptLoss Type: Package Title: Unsupervised Identification of Genes with Expression Loss in Subsets of Tumors Version: 1.24.0 Author: Daniel Pique, John Greally, Jessica Mar Maintainer: Daniel Pique Description: 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. License: GPL-3 + file LICENSE Encoding: UTF-8 LazyData: true Depends: R (>= 3.6.0) RoxygenNote: 7.1.0 Imports: dplyr, ggplot2, magrittr, tidyr, SummarizedExperiment Suggests: knitr, rmarkdown, testthat (>= 2.1.0), here VignetteBuilder: knitr biocViews: GeneExpression, StatisticalMethod PackageStatus: Deprecated Config/pak/sysreqs: libicu-dev zlib1g-dev Repository: Bioconductor 3.23 Date/Publication: 2026-04-28 12:51:57 UTC RemoteUrl: https://github.com/bioc/receptLoss RemoteRef: RELEASE_3_23 RemoteSha: 08b173059633bf0b98c5a94080d78fc3765f2715 NeedsCompilation: no Packaged: 2026-10-17 09:48:37 UTC; root