Gene Selection for the Identification of Biomarkers in High- Throughput Data
Jeong J, Vannucci M, Do K, Broom B, Kim S, Sha N, Tadesse M, Yan K, Pusztai L. Gene Selection for the Identification of Biomarkers in High- Throughput Data. 2010, 259-280. DOI: 10.1201/ebk1420070170-14.Peer-Reviewed Original ResearchVariable selection methodsVariable selectionMarkov chain Monte Carlo techniquesBayesian variable selection methodLinear model settingLinear regression settingPosterior model probabilitiesHighest probability modelLatent binary vectorThousands of variablesMonte Carlo techniqueUnimportant covariatesLinear settingCost of measurementMixture priorsRegression settingModel probabilitiesOperator methodKey ideaRegression coefficientsBayesian approachCarlo techniqueBayesian methodsLikelihood approachProbability model
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