Artificial intelligence-driven pan-cancer analysis reveals miRNA signatures for cancer stage prediction

Summary: The ability to detect cancer at an early stage in patients who would benefit from effective therapy is a key factor in increasing survivability. This work proposes an evolutionary supervised learning method called CancerSig to identify cancer stage-specific microRNA (miRNA) signatures for e...

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Bibliographic Details
Main Authors: Srinivasulu Yerukala Sathipati, Ming-Ju Tsai, Sanjay K. Shukla, Shinn-Ying Ho
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:HGG Advances
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666247723000222