| scholarly article | Q13442814 |
| P6179 | Dimensions Publication ID | 1047631413 |
| P356 | DOI | 10.1186/GB-2004-5-11-R93 |
| P953 | full work available at URL | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC545784 |
| P932 | PMC publication ID | 545784 |
| P698 | PubMed publication ID | 15535869 |
| P5875 | ResearchGate publication ID | 51367228 |
| P2093 | author name string | Laurence D Hurst | |
| Juan F Poyatos | |||
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| Comparative assessment of large-scale data sets of protein-protein interactions | Q29547451 | ||
| From molecular to modular cell biology | Q29547493 | ||
| P433 | issue | 11 | |
| P407 | language of work or name | English | Q1860 |
| P304 | page(s) | R93 | |
| P577 | publication date | 2004-01-01 | |
| P1433 | published in | Genome Biology | Q5533480 |
| P1476 | title | How biologically relevant are interaction-based modules in protein networks? | |
| P478 | volume | 5 |
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| Q35198634 | How and when should interactome-derived clusters be used to predict functional modules and protein function? |
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| Q36257382 | Interactome: gateway into systems biology |
| Q33840537 | Joint clustering of protein interaction networks through Markov random walk |
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| Q37253760 | Protein complexity, gene duplicability and gene dispensability in the yeast genome |
| Q36436811 | Protein interaction networks in plants |
| Q42704059 | Protein subnetwork markers improve prediction of cancer outcome |
| Q33475174 | Triangle network motifs predict complexes by complementing high-error interactomes with structural information |
| Q90581720 | Using OmicsNet for Network Integration and 3D Visualization |
| Q36069227 | Variation and evolution of biomolecular systems: searching for functional relevance |
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