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Deep Learning Techniques with Genomic Data in Cancer Prognosis: A Comprehensive Review of the 2021–2023 Literature

SIMPLE SUMMARY: The ongoing advancements in deep learning, notably its use in predicting cancer survival through genomic data analysis, calls for an up-to-date review. This paper inspects notable works from 2021 to 2023, underlining essential developments and their implications in the field. We offe...

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Detalles Bibliográficos
Autor principal: Lee, Minhyeok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376033/
https://www.ncbi.nlm.nih.gov/pubmed/37508326
http://dx.doi.org/10.3390/biology12070893