Article

An Integrative Multi-Omics Random Forest Framework for Robust Biomarker Discovery

2025-03-06

Abstract excerpt

<h4>ABSTRACT</h4> High-throughput technologies now produce a wide array of omics data, from genomic and transcriptomic profiles to epigenomic and proteomic measurements. Integrating these diverse data types can yield deeper insights into the biological mechanisms driving complex traits and diseases. Yet, extracting key shared biomarkers from multiple data layers remains a major challenge. We present a multivariat...

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Literature Corpus work: fa9aa14d-483e-5135-a721-e2d491c9ee15
DOI: 10.1101/2025.03.05.641533

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