Triangle network motifs predict complexes by complementing high-error interactomes with structural information
<p>Abstract</p> <p>Background</p> <p>A lot of high-throughput studies produce protein-protein interaction networks (PPINs) with many errors and missing information. Even for genome-wide approaches, there is often a low overlap between PPINs produced by different studies. Second-level neighbors separ...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
BMC
2009-06-01
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| Serier: | BMC Bioinformatics |
| Online adgang: | http://www.biomedcentral.com/1471-2105/10/196 |
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