BioinformaticsPatternsPeer-reviewed
Generating hard-to-obtain information from easy-to-obtain information: applications in drug discovery and clinical inference
Matthew Amodio, Dennis Legen Shung, Daniel B. Burkhardt…·Smita Krishnaswamy
The paper introduces FMGAN, a conditional GAN that predicts hard-to-obtain biological information from easy-to-obtain data, demonstrating applications in drug discovery and clinical outcomes.
8 citations