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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Detalles Bibliográficos
Autores principales: Xiao, Gangyi, Guan, Renchu, Cao, Yangkun, Huang, Zhenyu, Xu, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10185879/
https://www.ncbi.nlm.nih.gov/pubmed/37205122
http://dx.doi.org/10.3389/fgene.2023.1151962

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10185879/
https://www.ncbi.nlm.nih.gov/pubmed/37205122
http://dx.doi.org/10.3389/fgene.2023.1151962

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