Generative adversarial networks applied to gene expression analysis: An interdisciplinary perspective

Generative adversarial networks applied to gene expression analysis: An interdisciplinary perspective

Abstract The remarkable flexibility and adaptability of generative adversarial networks (GANs) have led to the proliferation of its models in bioinformatics research. Proteomic and transcriptomic profiles have been shown to be promising methods for discovering and identifying disease biomarkers. How...

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Bibliographic Details
Main Authors: Xusheng Ai, Melissa C Smith, Frank Alex Feltus
Format: Article
Language:English
Published: Wiley 2023-09-01
Series:Computational and Systems Oncology
Subjects:
biomarkers
data augmentation
generative adversarial network
RNA sequencing
Online Access:https://doi.org/10.1002/cso2.1050

Internet

https://doi.org/10.1002/cso2.1050

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