KISL: knowledge-injected semi-supervised learning for biological co-expression network modules

The exploration of important biomarkers associated with cancer development is crucial for diagnosing cancer, designing therapeutic interventions, and predicting prognoses. The analysis of gene co-expression provides a systemic perspective on gene networks and can be a valuable tool for mining biomar...

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Bibliographic Details
Main Authors: Gangyi Xiao, Renchu Guan, Yangkun Cao, Zhenyu Huang, Ying Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2023.1151962/full