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Genetics & Genomics

Reports outline genetics & genomics study results from University of California, Department of Neurology

Published in Medical Imaging Business Week, June 7th, 2007

Research findings, "Genetic algorithms for finite mixture model based voxel classification in neuroimaging," are discussed in a new report. "Finite mixture models (FMMs) are an indispensable tool for unsupervised classification in brain imaging. Fitting an FMM to the data leads to a complex optimization problem," scientists in the United States report.

"This optimization problem is difficult to solve by standard local optimization methods, such as the expectation-maximization (EM) algorithm, if a principled initialization is not available. In this paper, we propose a new global optimization algorithm for the FMM parameter estimation problem, which is based on real coded...

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