| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/bmcbi/SenKJ06 |
| P6179 | Dimensions Publication ID | 1022943475 |
| P356 | DOI | 10.1186/1471-2105-7-355 |
| P932 | PMC publication ID | 1557866 |
| P698 | PubMed publication ID | 16863590 |
| P5875 | ResearchGate publication ID | 6921751 |
| P50 | author | Robert L Jernigan | Q59682925 |
| Andrzej Kloczkowski | Q118958796 | ||
| Taner Z Sen | Q42104680 | ||
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| Modular organization of cellular networks | Q34329388 | ||
| Predicting protein complex membership using probabilistic network reliability | Q34342860 | ||
| The role of shape in determining molecular motions | Q34351341 | ||
| Rules for biological regulation based on error minimization | Q34424966 | ||
| Modeling and simulation of genetic regulatory systems: a literature review | Q34575847 | ||
| MIPS: analysis and annotation of proteins from whole genomes | Q34933194 | ||
| Topological structure analysis of the protein-protein interaction network in budding yeast | Q34980439 | ||
| The engineering of gene regulatory networks | Q35550663 | ||
| Design of gene circuits: lessons from bacteria | Q35621367 | ||
| Comparative computational analysis of prion proteins reveals two fragments with unusual structural properties and a pattern of increase in hydrophobicity associated with disease-promoting mutations | Q36527252 | ||
| Network motifs in integrated cellular networks of transcription-regulation and protein-protein interaction | Q37645904 | ||
| Towards the prediction of complete protein--protein interaction networks | Q40649025 | ||
| Quantification of metabolic flux in plant secondary metabolism by a biogenetic organizational approach | Q40666650 | ||
| P275 | copyright license | Creative Commons Attribution 2.0 Generic | Q19125117 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | protein-protein interaction | Q896177 |
| P304 | page(s) | 355 | |
| P577 | publication date | 2006-07-24 | |
| P1433 | published in | BMC Bioinformatics | Q4835939 |
| P1476 | title | Functional clustering of yeast proteins from the protein-protein interaction network | |
| P478 | volume | 7 |
| Q45744793 | BioNetwork Bench: Database and Software for Storage, Query, and Analysis of Gene and Protein Networks. |
| Q34005147 | Categorizing biases in high-confidence high-throughput protein-protein interaction data sets |
| Q30491292 | Co-expression among constituents of a motif in the protein-protein interaction network |
| Q36345578 | Detection of locally over-represented GO terms in protein-protein interaction networks |
| Q33689423 | Diffusion model based spectral clustering for protein-protein interaction networks |
| Q35196507 | Exploring function prediction in protein interaction networks via clustering methods |
| Q36454160 | FunSimMat: a comprehensive functional similarity database |
| Q31144156 | Gene function prediction using labeled and unlabeled data |
| Q33463431 | Influence of protein abundance on high-throughput protein-protein interaction detection |
| Q33482481 | Interactome and Gene Ontology provide congruent yet subtly different views of a eukaryotic cell |
| Q56675409 | Introduction to Systems Biology for Animal Scientists |
| Q28469296 | Metabolome based reaction graphs of M. tuberculosis and M. leprae: a comparative network analysis |
| Q33870081 | Modelling human protein interaction networks as metric spaces has potential in disease research and drug target discovery |
| Q28751567 | Network integration and graph analysis in mammalian molecular systems biology |
| Q42376682 | Partitioning of functional gene expression data using principal points |
| Q27337213 | Probing the extent of randomness in protein interaction networks |
| Q30983744 | Revealing and avoiding bias in semantic similarity scores for protein pairs |
| Q33582642 | Structural interpretation of protein-protein interaction network |
| Q26750901 | Systems psychopharmacology: A network approach to developing novel therapies |
| Q22241275 | The interactome: Predicting the protein-protein interactions in cells |
| Q33968205 | Towards inferring time dimensionality in protein-protein interaction networks by integrating structures: the p53 example |
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