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Prediction and Characterization of Missing Proteomic Data in Desulfovibrio vulgaris
Proteomic datasets are often incomplete due to identification range and sensitivity issues. It becomes important to develop methodologies to estimate missing proteomic data, allowing better interpretation of proteomic datasets and metabolic mechanisms underlying complex biological systems. In this s...
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| Main Authors: | , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Hindawi Publishing Corporation
2011
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3114432/ https://ncbi.nlm.nih.gov/pubmed/21687592 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2011/780973 |
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