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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Detalles Bibliográficos
Autores principales: 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
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3045610/
https://www.ncbi.nlm.nih.gov/pubmed/20965966
http://dx.doi.org/10.1093/nar/gkq960

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3045610/
https://www.ncbi.nlm.nih.gov/pubmed/20965966
http://dx.doi.org/10.1093/nar/gkq960

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