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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...
Autores principales: | Yerukala Sathipati, Srinivasulu, Tsai, Ming-Ju, Shukla, Sanjay K., Ho, Shinn-Ying |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
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 |
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