Hayley D. Ackerman

spatialMET provides a scalable, open-source framework for end-to-end spatial metabolomics analysis, identifying spatial domains and differential metabolites in mouse cancer data.

The paper develops microtumor models from lung cancer samples to study EMT and metabolic changes, identifying fatty acid synthesis as a targetable vulnerability.

iModMix identifies novel multi-omics associations by constructing data-driven modules without relying on biological annotations.

This study shows TAp73 regulates lipid metabolism in lung tumor microenvironment to enhance anti-tumor immunity through T-cell activation.

EnrichMET provides an R package for fast and reproducible pathway enrichment analysis in metabolomics, supporting multiple methods and offering both command-line and Shiny interfaces.