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The role of noise in biological processes with an emphasis on discrete and continuous stochastic
modelling of genetic regulatory networks and the importance of spatial modelling in cellular kinetics (Kevin
Burrage).
Computational graph theory for clustering and ordering large datasets and for understanding connectivity
structures. Use of random graph models to represent such datasets. A protein interaction network model
(Desmond Higham).
Optimization methods for statistical learning related to biology and genomic applications (Sayan
Mukherjee).
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