This is the development version of TREG; for the stable release version, see TREG.
Tools for finding Total RNA Expression Genes in single nucleus RNA-seq dataBioconductor version: Development (3.22)
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.
Author: Louise Huuki-Myers [aut, cre] ORCID: 0000-0001-5148-3602 , Leonardo Collado-Torres [ctb] ORCID: 0000-0003-2140-308X
Maintainer: Louise Huuki-Myers <lahuuki at gmail.com>
Citation (from within R, entercitation("TREG")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("TREG")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("TREG")Follow Installation instructions to use this package in your R session.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4