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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| 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 |