Molecular Prognostic Prediction for Locally Advanced Nasopharyngeal Carcinoma by Support Vector Machine Integrated Approach

BACKGROUND: Accurate prognostication of locally advanced nasopharyngeal carcinoma (NPC) will benefit patients for tailored therapy. Here, we addressed this issue by developing a mathematical algorithm based on support vector machine (SVM) through integrating the expression levels of multi-biomarkers...

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Bibliografiska uppgifter
Huvudupphovsmän: Wan, Xiang-Bo, Zhao, Yan, Fan, Xin-Juan, Cai, Hong-Min, Zhang, Yan, Chen, Ming-Yuan, Xu, Jie, Wu, Xiang-Yuan, Li, Hong-Bo, Zeng, Yi-Xin, Hong, Ming-Huang, Liu, Quentin
Materialtyp: Artigo
Språk:Inglês
Publicerad: Public Library of Science 2012
Ämnen:
Research Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC3302890/
https://ncbi.nlm.nih.gov/pubmed/22427815
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0031989
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