Deep learning for cancer type classification and driver gene identification

BACKGROUND: Genetic information is becoming more readily available and is increasingly being used to predict patient cancer types as well as their subtypes. Most classification methods thus far utilize somatic mutations as independent features for classification and are limited by study power. We ai...

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Detalles Bibliográficos
Autores principales: Zeng, Zexian, Mao, Chengsheng, Vo, Andy, Li, Xiaoyu, Nugent, Janna Ore, Khan, Seema A., Clare, Susan E., Luo, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8543824/
https://www.ncbi.nlm.nih.gov/pubmed/34689757
http://dx.doi.org/10.1186/s12859-021-04400-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8543824/
https://www.ncbi.nlm.nih.gov/pubmed/34689757
http://dx.doi.org/10.1186/s12859-021-04400-4

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