S Pavan Kumar

This paper introduces CausalFlux, a method modeling bidirectional feedback between genes and metabolites, showing improved prediction of reaction fluxes and gene essentiality compared to one-way feedback models.

The paper introduces SPECTRA, a method to reconstruct metabolic networks from multi-omics data at large-scale, improving speed and reaction inclusion across cancer cell lines, microbial reconstructions, and synthetic gut microbiota.

The paper uses genome-scale metabolic models to identify causal reactions influenced by SNP-SNP interactions affecting yeast sporulation efficiency.

Localgini improves context-specific metabolic models by using gene expression inequality to derive more comprehensive core reactions.