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Data-driven modelling of a gene regulatory network for cell fate decisions in the growing limb bud
2015
Molecular Systems Biology
Parameter optimization coupled with model selection is a convenient approach to infer gene regulatory networks from experimental gene expression data, but so far it has been limited to single cells or static tissues where growth is not significant. Here, we present a computational study in which we determine an optimal gene regulatory network from the spatiotemporal dynamics of gene expression patterns in a complex 2D growing tissue (nonisotropic and heterogeneous growth rates). We use this
doi:10.15252/msb.20145882
pmid:26174932
pmcid:PMC4547844
fatcat:k32kc43usfd4ro5mlaklthgvda