XGBG: A Novel Method for Identifying Ovarian Carcinoma Susceptible Genes Based on Deep Learning

Ovarian carcinomas (OCs) represent a heterogeneous group of neoplasms consisting of several entities with pathogenesis, molecular profiles, multiple risk factors, and outcomes. OC has been regarded as the most lethal cancer among women all around the world. There are at least five main types of OCs...

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Detalles Bibliográficos
Autores principales: Sun, Ke Feng, Sun, Li Min, Zhou, Dong, Chen, Ying Ying, Hao, Xi Wen, Liu, Hong Ruo, Liu, Xin, Chen, Jing Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133413/
https://www.ncbi.nlm.nih.gov/pubmed/35646648
http://dx.doi.org/10.3389/fonc.2022.897503

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133413/
https://www.ncbi.nlm.nih.gov/pubmed/35646648
http://dx.doi.org/10.3389/fonc.2022.897503

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