LieberInstitute/TREG: Tools for finding Total RNA Expression Genes in single nucleus RNA-seq data

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.

Getting started

Package details

Bioconductor views GeneExpression RNASeq Sequencing SingleCell Software Transcription Transcriptomics
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
LieberInstitute/TREG documentation built on May 7, 2024, 3:49 p.m.