MastR: an R package for automated identification of tissue-specific gene signatures in multi-group differential expression analysis.

ABSTRACT:

Motivation

Biomarker discovery is important and offers insight into potential underlying mechanisms of disease. While existing biomarker identification methods primarily focus on single cell RNA sequencing (scRNA-seq) data, there remains a need for automated methods designed for labeled bulk RNA-seq data from sorted cell populations or experiments. Current methods require curation of results or statistical thresholds and may not account for tissue background expression. Here we bridge these limitations with an automated marker identification method for labeled bulk RNA-seq data that explicitly considers background expressions.

Results

We developed mastR, a novel tool for accurate marker identification using transcriptomic data. It leverages robust statistical pipelines like

SUBMITTER: Chen J 

PROVIDER: S-EPMC11937977 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature