A Semiquantitative Framework for Gene Regulatory Networks: Increasing the Time and Quantitative Resolution of Boolean Networks

Open Access

Peer-reviewed

Research Article

Johan Kerkhofs,

Affiliations Biomechanics Research Unit, University of Liège, Liège, Belgium, Biomechanics section, KU Leuven, Leuven, Belgium, Prometheus, the Leuven R&D division of skeletal tissue engineering, KU Leuven, Leuven, Belgium
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Liesbet Geris

* E-mail: liesbet.geris@ulg.ac.be

Affiliations Biomechanics Research Unit, University of Liège, Liège, Belgium, Biomechanics section, KU Leuven, Leuven, Belgium, Prometheus, the Leuven R&D division of skeletal tissue engineering, KU Leuven, Leuven, Belgium
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Chondrocytes
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Growth factors
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Gene regulatory networks
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Monte Carlo method
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Protein interaction networks
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Topology
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Transcription factors
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Genetic networks
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