DNA methylation markers for diagnosis and prognosis of common cancers

The ability to identify a specific cancer using minimally invasive biopsy holds great promise for improving the diagnosis, treatment selection, and prediction of prognosis in cancer. Using whole-genome methylation data from The Cancer Genome Atlas (TCGA) and machine learning methods, we evaluated th...

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Dades bibliogràfiques
Publicat a:Proc Natl Acad Sci U S A
Autors principals: Hao, Xiaoke, Luo, Huiyan, Krawczyk, Michal, Wei, Wei, Wang, Wenqiu, Wang, Juan, Flagg, Ken, Hou, Jiayi, Zhang, Heng, Yi, Shaohua, Jafari, Maryam, Lin, Danni, Chung, Christopher, Caughey, Bennett A., Li, Gen, Dhar, Debanjan, Shi, William, Zheng, Lianghong, Hou, Rui, Zhu, Jie, Zhao, Liang, Fu, Xin, Zhang, Edward, Zhang, Charlotte, Zhu, Jian-Kang, Karin, Michael, Xu, Rui-Hua, Zhang, Kang
Format: Artigo
Idioma:Inglês
Publicat: National Academy of Sciences 2017
Matèries:
Biological Sciences
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC5514741/
https://ncbi.nlm.nih.gov/pubmed/28652331
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1703577114
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