2012
An Adaptive Feature Selection Method for Microarray Data Analysis
Cheng J, Greshock J, Shi L, Painter J, Lin X, Lee K, Zheng S, Wooster R, Pusztai L, Menius A. An Adaptive Feature Selection Method for Microarray Data Analysis. 2012, 1-6. DOI: 10.1109/bibm.2012.6392686.Peer-Reviewed Original ResearchPair of statisticsSelection methodFeature selection methodMicroarray data analysisAdaptive feature selection methodArray data analysisFeature selectionData analysisPredictive modelingImportant research topicInformative featuresSuperior classification performanceModelFilteringStatisticsModelingResearch topic
2011
Lack of sufficiently strong informative features limits the potential of gene expression analysis as predictive tool for many clinical classification problems
Hess KR, Wei C, Qi Y, Iwamoto T, Symmans WF, Pusztai L. Lack of sufficiently strong informative features limits the potential of gene expression analysis as predictive tool for many clinical classification problems. BMC Bioinformatics 2011, 12: 463. PMID: 22132775, PMCID: PMC3245512, DOI: 10.1186/1471-2105-12-463.Peer-Reviewed Original ResearchConceptsPrediction problemCurrent statistical methodsClinical prediction problemsReal data setsMonte Carlo cross validationStatistical methodsData setsAccurate modelPerturbedInformative featuresPrediction modelCancer data setsPredictor performanceGene expression dataProblemBreast cancer data setsClassification problemSuch featuresMean expression valuesSet