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...

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Detalles Bibliográficos
Autores principales: Triantafyllidis, Charalampos P., Barberis, Alessandro, Hartley, Fiona, Cuervo, Ana Miar, Gjerga, Enio, Charlton, Philip, van Bijsterveldt, Linda, Rodriguez, Julio Saez, Buffa, Francesca M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
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

Internet

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

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