2006
SemBiosphere: a semantic web approach to recommending microarray clustering services.
Yip KY, Qi P, Schultz M, Cheung DW, Cheung KH. SemBiosphere: a semantic web approach to recommending microarray clustering services. Biocomputing 2006, 188-99. PMID: 17094239.Peer-Reviewed Original ResearchConceptsWeb servicesXML-based Web servicesSemantic Web approachVariety of algorithmsGene expression data analysisExpression data analysisWeb approachOntological languageMatchmaking systemDifferent platformsData propertiesParticular taskAlgorithmNew algorithmDifferent languagesOntologyStandard waySuitable onePopular methodServicesLanguageData analysisLarge numberMicroarray dataDownload
2002
Visualization and evaluation of clusters for exploratory analysis of gene expression data
Kim J, Kohane I, Ohno-Machado L. Visualization and evaluation of clusters for exploratory analysis of gene expression data. Journal Of Biomedical Informatics 2002, 35: 25-36. PMID: 12415724, DOI: 10.1016/s1532-0464(02)00001-1.Peer-Reviewed Original ResearchConceptsClustering algorithmDifferent clustering algorithmsPopular clustering algorithmNew clustering algorithmComprehensive data visualizationGene expression data analysisData visualization strategiesExpression data analysisEvaluation of clustersData visualizationSoftware toolsCluster qualityCluster consistencyAlgorithmActual implementationData setsGene expression dataQuality measuresVisualizationPromising resultsFrameworkData analysisObjective evaluationUsersExpression data
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