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By integrating genome-wide data from multiple time course cell cycle microarray experiments we reconstructed a gene regulatory network.
When multiple time course experiments are integrated, p-values from the individual experiments are combined using classical meta-analysis techniques.
Chen et al [ 6] developed a Network-Identifier method untilizing a thermodynamic model to infer regulatory relationships from multiple time course gene expression datasets.
The Network-Identifier method utilized a thermodynamic model for gene regulation to infer regulatory relationships from multiple time course gene expression datasets.
These observations motivated us to design the PCM score for systematic phase-coupled meta-analysis of multiple time course experiments, and to re-rank all genes in S. pombe based on it.
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For maintained hair bundle displacements, the transduction current is known to adapt over multiple time courses due to kinetics of its molecular components.
We note that because TSNI cannot deal with multiple time courses, we adapted it for use in this setting.
Since continuous live imaging was feasible up to ∼3 days, the average rates of these processes were measured by collecting data from multiple time courses.
The protein-complex cores are a group of proteins which are always active in the molecular cycle and the attachments surrounding the cores are not always active but active in one or multiple time courses.
Multiple time-course gene expression datasets for a GRN may be collected under different circumstances.
This is the first high-resolution, multiple time-course, genome-wide comprehensive analysis of gene expression in cotton.
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