Alex J. Chin

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Drinking behavior of the isogenic mouse strain C57BL/6J was analyzed into nongenetic components: stochastic fluctuations, responses to fluctuations in the current environment, and persistent differences between individual animals. The latter accounted for the major part of the variance. The variance was neither increased by differences in diet during the(More)
—Growing interest in modeling large, complex networks has spurred significant research into generative graph models. These models not only allow users to gain insight into the processes underlying networks, but also provide synthetic data which allows algorithm scalability testing and addresses privacy concerns. Kronecker-style models (e.g. SKG and R-MAT)(More)
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