Systematic assessment of cervical cancer initiation and progression uncovers genetic panels for deep learning-based early diagnosis and proposes novel diagnostic and prognostic biomarkers

Although many outstanding achievements in the management of cervical cancer (CxCa) have obtained, it still imposes a major burden which has prompted scientists to discover and validate new CxCa biomarkers to improve the diagnostic and prognostic assessment of CxCa. In this study, eight different gen...

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Detalles Bibliográficos
Autores principales: Long, Nguyen Phuoc, Jung, Kyung Hee, Yoon, Sang Jun, Anh, Nguyen Hoang, Nghi, Tran Diem, Kang, Yun Pyo, Yan, Hong Hua, Min, Jung Eun, Hong, Soon-Sun, Kwon, Sung Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5752532/
https://www.ncbi.nlm.nih.gov/pubmed/29312619
http://dx.doi.org/10.18632/oncotarget.22689

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5752532/
https://www.ncbi.nlm.nih.gov/pubmed/29312619
http://dx.doi.org/10.18632/oncotarget.22689

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