Network Biology-Inspired Machine Learning Features Predict Cancer Gene Targets and Reveal Target Coordinating Mechanisms

Anticipating and understanding cancers’ need for specific gene activities is key for novel therapeutic development. Here we utilized DepMap, a cancer gene dependency screen, to demonstrate that machine learning combined with network biology can produce robust algorithms that both predict what genes...

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Detalles Bibliográficos
Autores principales: Weiskittel, Taylor M., Cao, Andrew, Meng-Lin, Kevin, Lehmann, Zachary, Feng, Benjamin, Correia, Cristina, Zhang, Cheng, Wisniewski, Philip, Zhu, Shizhen, Yong Ung, Choong, Li, Hu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223789/
https://www.ncbi.nlm.nih.gov/pubmed/37242535
http://dx.doi.org/10.3390/ph16050752

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223789/
https://www.ncbi.nlm.nih.gov/pubmed/37242535
http://dx.doi.org/10.3390/ph16050752

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