0000000000297606

AUTHOR

Matthias Bock

showing 2 related works from this author

Hub-Centered Gene Network Reconstruction Using Automatic Relevance Determination

2012

Network inference deals with the reconstruction of biological networks from experimental data. A variety of different reverse engineering techniques are available; they differ in the underlying assumptions and mathematical models used. One common problem for all approaches stems from the complexity of the task, due to the combinatorial explosion of different network topologies for increasing network size. To handle this problem, constraints are frequently used, for example on the node degree, number of edges, or constraints on regulation functions between network components. We propose to exploit topological considerations in the inference of gene regulatory networks. Such systems are often…

Dynamic network analysisTranscription GeneticMicroarraysSciencePosterior probabilityGene regulatory networkBiologycomputer.software_genreBioinformaticsNetwork topology03 medical and health sciences0302 clinical medicineYeastsGeneticsComputer SimulationGene Regulatory NetworksGene NetworksBiology030304 developmental biologyRegulatory NetworksHyperparameter0303 health sciencesMultidisciplinaryModels GeneticSystems BiologyQuantitative Biology::Molecular NetworksCell CycleQRComputational BiologyBayesian networkGene Expression RegulationROC CurveMedicineData miningcomputerAlgorithms030217 neurology & neurosurgeryCombinatorial explosionBiological networkResearch ArticlePLoS ONE
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Identification of ELF3 as an early transcriptional regulator of human urothelium

2014

AbstractDespite major advances in high-throughput and computational modelling techniques, understanding of the mechanisms regulating tissue specification and differentiation in higher eukaryotes, particularly man, remains limited. Microarray technology has been explored exhaustively in recent years and several standard approaches have been established to analyse the resultant datasets on a genome-wide scale. Gene expression time series offer a valuable opportunity to define temporal hierarchies and gain insight into the regulatory relationships of biological processes. However, unless datasets are exactly synchronous, time points cannot be compared directly.Here we present a data-driven ana…

Hepatocyte Nuclear Factor 3-alphaTime seriesTime FactorsPPARγMicroarrayNormal Human UrotheliumComputational biologyBiologyReal-Time Polymerase Chain ReactionBioinformaticsProto-Oncogene ProteinsGene expressionElectric ImpedanceTranscriptional regulationHumansRNA Small InterferingGeneTranscription factorMolecular BiologyDNA PrimersGene knockdownProto-Oncogene Proteins c-etsReverse Transcriptase Polymerase Chain ReactionMicroarray analysis techniquesGene Expression Regulation DevelopmentalCell DifferentiationCell BiologyMicroarray AnalysisImmunohistochemistryELF3DNA-Binding ProteinsDifferentiationGene Knockdown TechniquesGene chip analysisGene expressionUrotheliumTranscription FactorsDevelopmental BiologyDevelopmental Biology
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