Debarka Sengupta: FORGE Predicts Gene Dependency and Drug Sensitivity
Debarka Sengupta/X

Debarka Sengupta: FORGE Predicts Gene Dependency and Drug Sensitivity

Debarka Sengupta, Assoc. Dean IRD, Professor, Head of Infosys Centre for Artificial Intelligence at Indraprastha Institute of Information Technology, Cofounder and Chief Science Officer of GeneSilico, Computational Biologist, shared a post on X:

“Cancer dependency and drug response are usually modeled separately. Why? FORGE learns one latent space from DepMap expression data to predict gene dependency and drug sensitivity, integrating both into a Benefit Score.”

Title: Gene dependency-informed inference of response to targeted cancer therapies

Authors: Nilabja Bhattacharjee, Sreeram Chandra Murthy Peela, Abhishek Halder, Bernadette Mathew, Swarnava Samanta, Sakshi Gujral, Stuti Kumari, Smruti Panda, Ritwik Ganguly, Gaurav Ahuja, Subhajyoti De, Angshul Majumdar, Debarka Sengupta

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Debarka Sengupta

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