Tim D Rose

The paper introduces mantra, a method to estimate metabolic reaction activity changes from untargeted metabolomics data, demonstrating its utility in identifying biomarkers and enabling multi-omics integration.

The paper introduces LINEX2, a lipid network analysis framework that identifies enzymatic dysregulation from lipidomics data by integrating metabolic networks and graph algorithms.

MoSBi automates biclustering analysis across multi-omics data to identify robust molecular signatures for stratification and subtyping.