| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/bmcbi/FioravantiHN12 |
| P6179 | Dimensions Publication ID | 1030825754 |
| P356 | DOI | 10.1186/1471-2105-13-S4-S20 |
| P932 | PMC publication ID | 3434443 |
| P698 | PubMed publication ID | 22536967 |
| P5875 | ResearchGate publication ID | 224868880 |
| P50 | author | Manuela Helmer-Citterich | Q29048231 |
| Enrico Nardelli | Q102765912 | ||
| P2093 | author name string | Fabio Fioravanti | |
| P2860 | cites work | Structure and function of the feed-forward loop network motif | Q24683513 |
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| The Coherent Feedforward Loop Serves as a Sign-sensitive Delay Element in Transcription Networks | Q34275513 | ||
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| The incoherent feed-forward loop accelerates the response-time of the gal system of Escherichia coli | Q34483407 | ||
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| Simplified models of biological networks | Q37700652 | ||
| Charting the genetic interaction map of a cell | Q37812766 | ||
| Toward rigorous comprehension of biological complexity: modeling, execution, and visualization of thymic T-cell maturation | Q40830342 | ||
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| The logical analysis of continuous, non-linear biochemical control networks | Q69589433 | ||
| SnapShot: Network Motifs | Q85195295 | ||
| P304 | page(s) | S20 | |
| P577 | publication date | 2012-03-28 | |
| P1433 | published in | BMC Bioinformatics | Q4835939 |
| P1476 | title | Modeling gene regulatory network motifs using Statecharts | |
| P478 | volume | 13 Suppl 4 |
| Q28730896 | Bioinformatics in Italy: BITS2011, the Eighth Annual Meeting of the Italian Society of Bioinformatics |
| Q28541174 | Computational analyses of synergism in small molecular network motifs |
| Q58799802 | Detection of network motifs using three-way ANOVA |
| Q34520905 | Logic programming to predict cell fate patterns and retrodict genotypes in organogenesis |
| Q37270376 | Reducing the complexity of complex gene coexpression networks by coupling multiweighted labeling with topological analysis |
| Q35777950 | Systematic synergy modeling: understanding drug synergy from a systems biology perspective |
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