An interpretable deep learning framework for genome-informed precision oncology

Cancers result from aberrations in cellular signaling systems, typically resulting from driver somatic genome alterations (SGAs) in individual tumors. Precision oncology requires understanding the cellular state and selecting medications that induce vulnerability in cancer cells under such condition...

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Detalles Bibliográficos
Autores principales: Ren, Shuangxia, Cooper, Gregory F, Chen, Lujia, Lu, Xinghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369905/
https://www.ncbi.nlm.nih.gov/pubmed/37503199
http://dx.doi.org/10.1101/2023.07.11.548534

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369905/
https://www.ncbi.nlm.nih.gov/pubmed/37503199
http://dx.doi.org/10.1101/2023.07.11.548534

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