Package: TREG Title: Tools for finding Total RNA Expression Genes in single nucleus RNA-seq data Version: 1.17.0 Date: 2023-06-16 Authors@R: c(person(given = "Louise", family = "Huuki-Myers", role = c("aut", "cre"), email = "lahuuki@gmail.com", comment = c(ORCID = "0000-0001-5148-3602")), person("Leonardo", "Collado-Torres", role = c("ctb"), email = "lcolladotor@gmail.com", comment = c(ORCID = "0000-0003-2140-308X")) ) Description: RNA abundance and cell size parameters could improve RNA-seq deconvolution algorithms to more accurately estimate cell type proportions given the different cell type transcription activity levels. A Total RNA Expression Gene (TREG) can facilitate estimating total RNA content using single molecule fluorescent in situ hybridization (smFISH). We developed a data-driven approach using a measure of expression invariance to find candidate TREGs in postmortem human brain single nucleus RNA-seq. This R package implements the method for identifying candidate TREGs from snRNA-seq data. License: Artistic-2.0 URL: https://github.com/LieberInstitute/TREG, http://research.libd.org/TREG/ BugReports: https://support.bioconductor.org/t/TREG biocViews: Software, SingleCell, RNASeq, GeneExpression, Transcriptomics, Transcription, Sequencing Encoding: UTF-8 LazyData: true Roxygen: list(markdown = TRUE) RoxygenNote: 7.2.3 Depends: R (>= 4.2), SummarizedExperiment Suggests: BiocFileCache, BiocStyle, dplyr, ggplot2, knitr, pheatmap, sessioninfo, RefManageR, rmarkdown, testthat (>= 3.0.0), tibble, tidyr, SingleCellExperiment Config/testthat/edition: 3 Imports: Matrix, purrr, rafalib VignetteBuilder: knitr Config/pak/sysreqs: zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:57:58 UTC RemoteUrl: https://github.com/bioc/TREG RemoteRef: HEAD RemoteSha: 930d109d6887de3e181523ee143983d70b0e70cf NeedsCompilation: no Packaged: 2026-07-12 09:11:21 UTC; root Author: Louise Huuki-Myers [aut, cre] (ORCID: ), Leonardo Collado-Torres [ctb] (ORCID: ) Maintainer: Louise Huuki-Myers