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A machine learning and directed network optimization approach to uncover TP53 regulatory patterns
TP53, the Guardian of the Genome, is the most frequently mutated gene in human cancers and the functional characterization of its regulation is fundamental. To address this we employ two strategies: machine learning to predict the mutation status of TP53from transcriptomic data, and directed regulat...
| Autores principales: | , , , , , , , , |
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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/PMC10692668/ https://www.ncbi.nlm.nih.gov/pubmed/38047081 http://dx.doi.org/10.1016/j.isci.2023.108291 |