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

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 early canc...

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Detalles Bibliográficos
Autores principales: Yerukala Sathipati, Srinivasulu, Tsai, Ming-Ju, Shukla, Sanjay K., Ho, Shinn-Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130501/
https://www.ncbi.nlm.nih.gov/pubmed/37124139
http://dx.doi.org/10.1016/j.xhgg.2023.100190

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130501/
https://www.ncbi.nlm.nih.gov/pubmed/37124139
http://dx.doi.org/10.1016/j.xhgg.2023.100190

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