Daniel Peavoy

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Introduction. Reverse engineering of genetic regulatory networks (GRNs) from the expression levels of thousands of genes over time is a central problem in systems biology. A number of approaches have been developed, with effort from the biology, statistics and machine learning communities. The difficulty lies with the very large number of variables and(More)
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