Modular RNA-Sequencing Analytics for Exploratory Biomarker Discovery Using Public Data

Publicly available RNA-sequencing data provide a cost-effective springboard for biomarker discovery. However, heterogeneity across studies often complicates analysis. This study presents a modular analytics pipeline that combines publicly available data sets with established open-source tools; standardizes quality control, differential expression analysis, and pathway analysis; and leverages competitive machine learning to unify disparate RNA-sequencing data sets for robust biomarker identification.