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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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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2010
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| 主題: | |
| オンライン･アクセス: | 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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