Erol S. Kavvas

The paper uses matrix factorization to uncover consistent regulatory signals across diverse gene expression datasets, demonstrating its utility in multi-omics analysis.

This study uses multi-omics data from evolving E. coli strains to identify convergent and divergent adaptation principles at metabolic, transcriptomic, and genetic levels.

The paper introduces ssbio, a Python framework for integrating structural biology data into genome-scale systems biology workflows.