Bayesian learning framework with kernel-imbedded Gaussian processes applied to microarray analysis
Thesis (Ph.D.)--University of Hawaii at Manoa, 2008. === DNA microarray technology has provided researchers a high-throughput means to simultaneously measure expression levels for thousands of genes in an experiment. With a probit regression setting and assuming that the link function between signif...
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| Language: | en-US |
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2011
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| Online Access: | http://hdl.handle.net/10125/20510 |