Lauren M. Petrick

This paper introduces a Stability-driven framework for multi-omics integration to identify reproducible latent structures in thyroid cancer data.

The paper introduces Reactomics, a method using mass spectrometry to directly retrieve biochemical relationships from untargeted metabolomics data without prior compound identification.

The paper introduces a data-adaptive pipeline for filtering and normalizing metabolomics data, showing it outperforms traditional methods in reducing technical noise and preserving biological signals.