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