An integrated transcriptomic and computational analysis for biomarker identification in gastric cancer

This report describes an integrated study on identification of potential markers for gastric cancer in patients’ cancer tissues and sera based on: (i) genome-scale transcriptomic analyses of 80 paired gastric cancer/reference tissues and (ii) computational prediction of blood-secretory proteins supp...

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Dades bibliogràfiques
Autors principals: Cui, Juan, Chen, Yunbo, Chou, Wen-Chi, Sun, Liankun, Chen, Li, Suo, Jian, Ni, Zhaohui, Zhang, Ming, Kong, Xiaoxia, Hoffman, Lisabeth L., Kang, Jinsong, Su, Yingying, Olman, Victor, Johnson, Darryl, Tench, Daniel W., Amster, I. Jonathan, Orlando, Ron, Puett, David, Li, Fan, Xu, Ying
Format: Artigo
Idioma:Inglês
Publicat: Oxford University Press 2011
Matèries:
Computational Biology
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC3045610/
https://ncbi.nlm.nih.gov/pubmed/20965966
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gkq960
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