In-silico prediction of blood-secretory human proteins using a ranking algorithm

BACKGROUND: Computational identification of blood-secretory proteins, especially proteins with differentially expressed genes in diseased tissues, can provide highly useful information in linking transcriptomic data to proteomic studies for targeted disease biomarker discovery in serum. RESULTS: A n...

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Detalles Bibliográficos
Autores principales: Liu, Qi, Cui, Juan, Yang, Qiang, Xu, Ying
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Research article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2877692/
https://www.ncbi.nlm.nih.gov/pubmed/20465853
http://dx.doi.org/10.1186/1471-2105-11-250

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2877692/
https://www.ncbi.nlm.nih.gov/pubmed/20465853
http://dx.doi.org/10.1186/1471-2105-11-250

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