Generating hard-to-obtain information from easy-to-obtain information: Applications in drug discovery and clinical inference

Generating hard-to-obtain information from easy-to-obtain information: Applications in drug discovery and clinical inference

Summary: Often when biological entities are measured in multiple ways, there are distinct categories of information: some information is easy-to-obtain information (EI) and can be gathered on virtually every subject of interest, while other information is hard-to-obtain information (HI) and can only...

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Bibliographic Details
Main Authors: Matthew Amodio, Dennis Shung, Daniel B. Burkhardt, Patrick Wong, Michael Simonov, Yu Yamamoto, David van Dijk, Francis Perry Wilson, Akiko Iwasaki, Smita Krishnaswamy
Format: Article
Language:English
Published: Elsevier 2021-07-01
Series:Patterns
Subjects:
generative adversarial networks
conditional generative models
drug perturbations
clinical data monitoring
Online Access:http://www.sciencedirect.com/science/article/pii/S2666389921001215

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http://www.sciencedirect.com/science/article/pii/S2666389921001215

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