Metabolomics based predictive classifier for early detection of pancreatic ductal adenocarcinoma

The availability of robust classification algorithms for the identification of high risk individuals with resectable disease is critical to improving early detection strategies and ultimately increasing survival rates in PC. We leveraged high quality biospecimens with extensive clinical annotations...

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Detalles Bibliográficos
Autores principales: Unger, Keith, Mehta, Khyati Y., Kaur, Prabhjit, Wang, Yiwen, Menon, Smrithi S., Jain, Shreyans K., Moonjelly, Rose A., Suman, Shubhankar, Datta, Kamal, Singh, Rajbir, Fogel, Paul, Cheema, Amrita K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2018
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5955422/
https://www.ncbi.nlm.nih.gov/pubmed/29796173
http://dx.doi.org/10.18632/oncotarget.25212

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5955422/
https://www.ncbi.nlm.nih.gov/pubmed/29796173
http://dx.doi.org/10.18632/oncotarget.25212

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