Vinay Srinivas Bharadhwaj

Unraveling the Co-Morbidity between COVID-19 and Neurodegenerative Diseases Through Multi-scale Graph Analysis: A Systematic Investigation of Biological Databases and Text Mining

SynDRep: A Knowledge Graph-Enhanced Tool based on Synergistic Partner Prediction for Drug Repurposing

SynDRep predicts synergistic drug partners for disease repurposing using knowledge graphs and machine learning, achieving 84.58% true predictions with HolE and 0.796 ROC-AUC with random forest.

A network of transcriptomic signatures identifies novel comorbidity mechanisms between schizophrenia and somatic disorders

This study identifies shared molecular mechanisms between schizophrenia and somatic disorders using a computational framework based on multi-rank non-negative matrix factorization.

Integrative analysis to identify shared mechanisms between schizophrenia and bipolar disorder and their comorbidities

This study identifies shared genetic and biological mechanisms between schizophrenia, bipolar disorder, and type 2 diabetes mellitus using integrative analysis of gene expression datasets.

DecoPath: A web application for decoding pathway enrichment analysis

DecoPath is a web tool that helps interpret pathway enrichment analysis results by comparing across databases and methods, highlighting consensus and discrepancies.

CLEP: A Hybrid Data- and Knowledge- Driven Framework for Generating Patient Representations

CLEP generates patient representations by integrating prior biological knowledge with patient data, improving classification performance compared to using raw transcriptomics data.

Using predictive machine learning models for drug response simulation by calibrating patient-specific pathway signatures

This paper uses predictive machine learning models to simulate drug responses by calibrating patient-specific pathway signatures, identifying potential drugs and mechanisms for three cancers.