Sayed‐Rzgar Hosseini

This study introduces R-CBN, a robust Bayesian network model for inferring cancer progression pathways, showing improved reliability and scalability over existing methods.

This study uses AlphaFold 2 to analyze the structural impact of alternative splicing in 3,000 human genes, identifying structural changes and disease-related mutations.

This paper introduces CCSynergy, a deep learning framework for predicting anti-cancer drug synergy using extended drug similarity profiles, achieving superior accuracy and context-generalizability.