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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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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2010
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2877692/ https://ncbi.nlm.nih.gov/pubmed/20465853 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-11-250 |
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