Amitabh Sharma

The paper analyzes the robustness of multilayer biological networks by integrating gene regulatory, protein-protein interaction, and metabolic data to assess how perturbations affect system stability.

The paper identifies peripheral and core genes in the human interactome using gene expression data and shows their distinct biological roles and implications for disease classification and drug targets.

This study constructs and analyzes a multiplex network of 779 human diseases, revealing connections between genetic and phenotypic layers and identifying new disease associations.

The paper integrates existing interactome data with new experimental interactions to identify a COPD-related disease network module.

The paper identifies NFATC4 as a key regulator of Type 2 Diabetes genes by analyzing a gene regulatory network in pancreatic islets and linking it to eQTLs and differential expression.

This paper introduces a new disease classification system (NCD) that integrates phenotypic and molecular networks to improve disease specificity and redefine disease boundaries.