ROTS 2.0: A reproducibility-driven framework for robust statistical modeling across diverse high-throughput omics study designs
Tomi Suomi, Jalmari Kettunen, Taneli Pusa, Laura L. Elo
ROTS 2.0 improves statistical modeling in omics studies by optimizing reproducibility across various experimental designs and provides open-source implementations in R and Python.
bioRxiv · Jun 3, 2026 · PreprintBioinformatics