2023
Statistical Methodologies for Analyzing Genomic Data
Duan F, Zhang H. Statistical Methodologies for Analyzing Genomic Data. Springer Handbooks 2023, 621-634. DOI: 10.1007/978-1-4471-7503-2_32.Peer-Reviewed Original ResearchLinear discriminant analysisEmpirical Bayesian approachDifferent clustering methodsModel-based clusteringNeural networkStatistical methodologyK-meansVector machineMicroarray data analysisColon cancer datasetBayesian approachClassification methodRand indexStatistical issuesClustering methodMultiple comparison issuesMicroarray dataCancer datasetsComparison issuesHierarchical clusteringT-statisticAlgorithmClassificationClusteringGenomic data
2006
Statistical Methodologies for Analyzing Genomic Data
Duan F, Zhang H. Statistical Methodologies for Analyzing Genomic Data. Springer Handbooks 2006, 607-621. DOI: 10.1007/978-1-84628-288-1_33.Peer-Reviewed Original ResearchLinear discriminant analysisDifferent clustering methodsEmpirical Bayesian approachModel-based clusteringNeural networkK-meansVector machineMicroarray data analysisColon cancer datasetClassification methodRand indexStatistical methodologyClustering methodBayesian approachMicroarray dataStatistical issuesMultiple comparison issuesComparison issuesHierarchical clusteringT-statisticAlgorithmClassificationClusteringGenomic dataClassification analysis
2001
Recursive partitioning for tumor classification with gene expression microarray data
Zhang H, Yu C, Singer B, Xiong M. Recursive partitioning for tumor classification with gene expression microarray data. Proceedings Of The National Academy Of Sciences Of The United States Of America 2001, 98: 6730-6735. PMID: 11381113, PMCID: PMC34421, DOI: 10.1073/pnas.111153698.Peer-Reviewed Original Research