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We will systematically analyse large datasets of multiple types to: (i) identify key components affected by age or experimental perturbation; (ii) establish networks of interaction; (iii) develop dynamic computational models based on these networks; (iv) use model selection methods to discriminate between alternative network topologies and generate predictive models. To characterise the data, we will apply an ensemble of methods, including frameworks in R/Bioconductor and toolboxes connected via ...

Programme: Newcastle University Systems Modelling of Ageing

Public web page: Not specified

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