2019
An accurate and powerful method for copy number variation detection
Xiao F, Luo X, Hao N, Niu YS, Xiao X, Cai G, Amos CI, Zhang H. An accurate and powerful method for copy number variation detection. Bioinformatics 2019, 35: 2891-2898. PMID: 30649252, PMCID: PMC6735918, DOI: 10.1093/bioinformatics/bty1041.Peer-Reviewed Original Research
2018
Subtype Classification and Heterogeneous Prognosis Model Construction in Precision Medicine
You N, He S, Wang X, Zhu J, Zhang H. Subtype Classification and Heterogeneous Prognosis Model Construction in Precision Medicine. Biometrics 2018, 74: 814-822. PMID: 29359319, DOI: 10.1111/biom.12843.Peer-Reviewed Original ResearchConceptsRegularization regressionVariable selectionHigh-dimensional predictorsNecessary statistical methodsVariable selection methodsExpectation-maximization algorithmOracle propertyPenalty parameterSemiparametric modelStatistical methodsParametric modelNumerical calculationsProper choiceModel constructionSelection methodGene expression datasetsModelEstimatorSubtype-specific risk factorsRegularizerSurvival probabilityHigh-throughput technologiesExpression datasetsAlgorithmSimulations
2017
modSaRa: a computationally efficient R package for CNV identification
Xiao F, Niu Y, Hao N, Xu Y, Jin Z, Zhang H. modSaRa: a computationally efficient R package for CNV identification. Bioinformatics 2017, 33: 2384-2385. PMID: 28453611, PMCID: PMC5860124, DOI: 10.1093/bioinformatics/btx212.Peer-Reviewed Original ResearchConceptsComputational complexityHigh computational complexityR packageOptimal computational complexityUser-friendly R packageEfficient R packageSupplementary dataCurrent versionComputational algorithmDesirable accuracyComplexityPackageComprehensive toolCNV identificationDownloadAlgorithmVariant identificationBioinformaticsImplementationTypes of variationRCPPAccuracyIntegrationStepTool
2014
Modified screening and ranking algorithm for copy number variation detection
Xiao F, Min X, Zhang H. Modified screening and ranking algorithm for copy number variation detection. Bioinformatics 2014, 31: 1341-1348. PMID: 25542927, PMCID: PMC4410664, DOI: 10.1093/bioinformatics/btu850.Peer-Reviewed Original Research
2012
Large Scale Association Analysis for Drug Addiction: Results from SNP to Gene
Guo X, Liu Z, Wang X, Zhang H. Large Scale Association Analysis for Drug Addiction: Results from SNP to Gene. The Scientific World JOURNAL 2012, 2012: 939584. PMID: 23365539, PMCID: PMC3543790, DOI: 10.1100/2012/939584.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesAssociation studiesAssociation analysisGene-based association analysisLarge-scale association analysisSingle nucleotide polymorphism dataWide association studyComplex diseasesGene-based analysisGene-based methodsNucleotide polymorphism dataGenetic association studiesPolymorphism dataGene findingGenetic variantsIndividual SNPsStudy of AddictionSNPsGenetic etiologyGenesComprehensive analysisGeneticsVariantsSimulating Realistic Genomic Data With Rare Variants
Xu Y, Wu Y, Song C, Zhang H. Simulating Realistic Genomic Data With Rare Variants. Genetic Epidemiology 2012, 37: 163-172. PMID: 23161487, PMCID: PMC3543480, DOI: 10.1002/gepi.21696.Peer-Reviewed Original ResearchMultiscale Adaptive Marginal Analysis of Longitudinal Neuroimaging Data with Time-Varying Covariates
Skup M, Zhu H, Zhang H. Multiscale Adaptive Marginal Analysis of Longitudinal Neuroimaging Data with Time-Varying Covariates. Biometrics 2012, 68: 1083-1092. PMID: 22551084, PMCID: PMC3767131, DOI: 10.1111/j.1541-0420.2012.01767.x.Peer-Reviewed Original Research
2011
Recruitment challenges of a multicenter randomized controlled varicocelectomy trial
Trussell JC, Christman GM, Ohl DA, Legro RS, Krawetz SA, Snyder PJ, Patrizio P, Polotsky AJ, Diamond MP, Casson PR, Coutifaris C, Barnhart K, Brzyski RG, Schlaff WD, Meacham R, Shin D, Thomas T, Zhang M, Santoro N, Eisenberg E, Zhang H, Network R. Recruitment challenges of a multicenter randomized controlled varicocelectomy trial. Fertility And Sterility 2011, 96: 1299-1305. PMID: 22130101, PMCID: PMC3243664, DOI: 10.1016/j.fertnstert.2011.10.025.Peer-Reviewed Original ResearchConceptsReproductive Medicine NetworkPlacebo armInfertility evaluationIntrauterine inseminationMedicine NetworkSuboptimal recruitmentClinical trial enrollmentMale infertility studiesAscertain reasonsIUI cyclesInfertile womenTrial enrollmentSurgical interventionPatient educationMAIN OUTCOMEStudy recruitmentInfertile menMale infertilityStudy participantsInfertility studiesMale partnersRecruitment challengesTrialsInadequate recruitmentFertility interventions
2009
Analysis of Twin Data Using SAS
Feng R, Zhou G, Zhang M, Zhang H. Analysis of Twin Data Using SAS. Biometrics 2009, 65: 584-589. PMID: 18647295, PMCID: PMC2700843, DOI: 10.1111/j.1541-0420.2008.01098.x.Peer-Reviewed Original Research
2008
LOT: a tool for linkage analysis of ordinal traits for pedigree data
Zhang M, Feng R, Chen X, Hu B, Zhang H. LOT: a tool for linkage analysis of ordinal traits for pedigree data. Bioinformatics 2008, 24: 1737-1739. PMID: 18535081, PMCID: PMC2566542, DOI: 10.1093/bioinformatics/btn258.Peer-Reviewed Original Research
2006
A statistical framework for the classification of tensor morphologies in diffusion tensor images
Zhu H, Xu D, Raz A, Hao X, Zhang H, Kangarlu A, Bansal R, Peterson BS. A statistical framework for the classification of tensor morphologies in diffusion tensor images. Magnetic Resonance Imaging 2006, 24: 569-582. PMID: 16735178, PMCID: PMC2367261, DOI: 10.1016/j.mri.2006.01.004.Peer-Reviewed Original ResearchRecursive partitioning–based preoperative risk stratification for atrial fibrillation after coronary artery bypass surgery
Sedrakyan A, Zhang H, Treasure T, Krumholz HM. Recursive partitioning–based preoperative risk stratification for atrial fibrillation after coronary artery bypass surgery. American Heart Journal 2006, 151: 720-724. PMID: 16504639, DOI: 10.1016/j.ahj.2005.05.010.Peer-Reviewed Original ResearchConceptsCoronary artery bypass graft surgeryAtrial fibrillationLow-risk groupAggressive prophylaxisRelative riskPredictors of AFArtery bypass graft surgeryCoronary artery bypass surgeryRisk of AFYale-New Haven HospitalOnly ejection fractionPreoperative atrial fibrillationBypass graft surgeryArtery bypass surgeryCoronary artery diseasePreoperative risk stratificationHigh-risk groupHeart disease severityPossible adverse eventsOlder age subgroupsArrhythmia prophylaxisGraft surgeryProphylactic therapyAdverse eventsBypass surgery
2004
Preoperative Anxiety and Emergence Delirium and Postoperative Maladaptive Behaviors
Kain ZN, Caldwell-Andrews AA, Maranets I, McClain B, Gaal D, Mayes LC, Feng R, Zhang H. Preoperative Anxiety and Emergence Delirium and Postoperative Maladaptive Behaviors. Anesthesia & Analgesia 2004, 99: 1648-1654. PMID: 15562048, DOI: 10.1213/01.ane.0000136471.36680.97.Peer-Reviewed Original ResearchMeSH KeywordsAdaptation, PsychologicalAge FactorsAlgorithmsAnesthesia Recovery PeriodAnesthesia, GeneralAnxietyChildChild, PreschoolDatabases, FactualDeliriumFamilyFemaleHumansMaleParentsPersonality TestsPostoperative ComplicationsPostoperative PeriodProspective StudiesRecovery RoomRisk AssessmentSurveys and QuestionnairesTemperamentTime FactorsConceptsPost-Hospital Behavior QuestionnaireEmergence deliriumMaladaptive behavioral changesPreoperative anxietyState anxiety scoresPostoperative maladaptive behavioral changesBehavioral changesAnxiety scoresPostoperative day 1Postanesthesia care unitPostoperative behavioral changesYale Preoperative Anxiety ScalePostoperative maladaptive behaviorsCare unitGeneral anesthesiaPostoperative phenomenonSevoflurane/Odds ratioDeliriumDay 1Clinical phenomenaSurgeryRegression analysisEmergence statusChildrenCorrecting the loss of cell-cycle synchrony in clustering analysis of microarray data using weights
Duan F, Zhang H. Correcting the loss of cell-cycle synchrony in clustering analysis of microarray data using weights. Bioinformatics 2004, 20: 1766-1771. PMID: 15166015, DOI: 10.1093/bioinformatics/bth169.Peer-Reviewed Original ResearchAlgorithmsBiological ClocksCell CycleCluster AnalysisGene Expression ProfilingGene Expression Regulation, FungalModels, GeneticModels, StatisticalOligonucleotide Array Sequence AnalysisPattern Recognition, AutomatedReproducibility of ResultsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSensitivity and SpecificityTime Factors