2016
Compact Integration of Multi-Network Topology for Functional Analysis of Genes
Cho H, Berger B, Peng J. Compact Integration of Multi-Network Topology for Functional Analysis of Genes. Cell Systems 2016, 3: 540-548.e5. PMID: 27889536, PMCID: PMC5225290, DOI: 10.1016/j.cels.2016.10.017.Peer-Reviewed Original ResearchMultiple heterogeneous networksBiological network dataLow-dimensional vectorsProtein function predictionMashup frameworkShelf machineArt performanceHeterogeneous networksNetwork dataScience domainMashupsIndividual networksInference tasksTopological landscapeNetwork integrationInteraction predictionNetworkFunction predictionUnsolved challengeMore accurate inferencesPresent toolsAccurate inferenceFunctional interaction networkTopological contextTopological patterns
2009
Data assimilation for heterogeneous networks: The consensus set
Sauer T, Schiff S. Data assimilation for heterogeneous networks: The consensus set. Physical Review E 2009, 79: 051909. PMID: 19518482, PMCID: PMC2951269, DOI: 10.1103/physreve.79.051909.Peer-Reviewed Original ResearchConceptsHeterogeneous networksEnsemble Kalman filteringData assimilationDynamical networksNetwork experimentsPhysical networkNonstationary environmentsKalman filteringModel networksNetworkAccurate reconstructionUnobserved variablesConsensus setTrackingFilteringBroad applicabilityImplementationOscillatorSetEnvironment
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