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
2009
The Bimodality Index: A criterion for Discovering and Ranking Bimodal Signatures from Cancer Gene Expression Profiling Data
Wang J, Wen S, Symmans WF, Pusztai L, Coombes KR. The Bimodality Index: A criterion for Discovering and Ranking Bimodal Signatures from Cancer Gene Expression Profiling Data. Cancer Informatics 2009, 7: cin.s2846. PMID: 19718451, PMCID: PMC2730180, DOI: 10.4137/cin.s2846.Peer-Reviewed Original Research
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
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