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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...
Autores principales: | Zeng, Zexian, Mao, Chengsheng, Vo, Andy, Li, Xiaoyu, Nugent, Janna Ore, Khan, Seema A., Clare, Susan E., Luo, Yuan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
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 |
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