DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data

BACKGROUND: Identifying breast cancer patients with DNA repair pathway-related germline pathogenic variants (GPVs) is important for effectively employing systemic treatment strategies and risk-reducing interventions. However, current criteria and risk prediction models for prioritizing genetic testi...

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Detalles Bibliográficos
Autores principales: Liu, Jiaqi, Zhao, Hengqiang, Zheng, Yu, Dong, Lin, Zhao, Sen, Huang, Yukuan, Huang, Shengkai, Qian, Tianyi, Zou, Jiali, Liu, Shu, Li, Jun, Yan, Zihui, Li, Yalun, Zhang, Shuo, Huang, Xin, Wang, Wenyan, Li, Yiqun, Wang, Jie, Ming, Yue, Li, Xiaoxin, Xing, Zeyu, Qin, Ling, Zhao, Zhengye, Jia, Ziqi, Li, Jiaxin, Liu, Gang, Zhang, Menglu, Feng, Kexin, Wu, Jiang, Zhang, Jianguo, Yang, Yongxin, Wu, Zhihong, Liu, Zhihua, Ying, Jianming, Wang, Xin, Su, Jianzhong, Wang, Xiang, Wu, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876403/
https://www.ncbi.nlm.nih.gov/pubmed/35209950
http://dx.doi.org/10.1186/s13073-022-01027-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876403/
https://www.ncbi.nlm.nih.gov/pubmed/35209950
http://dx.doi.org/10.1186/s13073-022-01027-9

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