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A novel interpretable machine learning algorithm to identify optimal parameter space for cancer growth

Recent years have seen an increase in the application of machine learning to the analysis of physical and biological systems, including cancer progression. A fundamental downside to these tools is that their complexity and nonlinearity makes it almost impossible to establish a deterministic, a prior...

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Detalles Bibliográficos
Autores principales: Coggan, Helena, Andres Terre, Helena, Liò, Pietro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9510846/
https://www.ncbi.nlm.nih.gov/pubmed/36172548
http://dx.doi.org/10.3389/fdata.2022.941451