Development of diagnostic model of lung cancer based on multiple tumor markers and data mining

OBJECTIVE: To develop early intelligent discriminative model of lung cancer and evaluate the efficiency of diagnosis value. METHODS: Based on the genetic polymorphism profile of CYP1A1-rs1048943, GSTM1, mEH-rs1051740, XRCC1-rs1799782 and XRCC1-rs25489 and the methylations of p16 and RASSF1A gene, an...

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Detalles Bibliográficos
Autores principales: Wang, Zhaoxian, Feng, Feifei, Zhou, Xiaoshan, Duan, Liju, Wang, Jing, Wu, Yongjun, Wang, Na
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/PMC5706913/
https://www.ncbi.nlm.nih.gov/pubmed/29212267
http://dx.doi.org/10.18632/oncotarget.21935

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5706913/
https://www.ncbi.nlm.nih.gov/pubmed/29212267
http://dx.doi.org/10.18632/oncotarget.21935

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