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
2011
Propensity score‐based nonparametric test revealing genetic variants underlying bipolar disorder
Jiang Y, Zhang H. Propensity score‐based nonparametric test revealing genetic variants underlying bipolar disorder. Genetic Epidemiology 2011, 35: 125-132. PMID: 21254220, PMCID: PMC3077545, DOI: 10.1002/gepi.20558.Peer-Reviewed Original ResearchConceptsSingle nucleotide polymorphismsGenetic variantsWellcome Trust Case Control ConsortiumRPGRIP1L geneGenetic studiesAssociation analysisHaplotype blocksChromosome 16Nucleotide polymorphismsComplex diseasesGenesComplex disorderStrong signalUnreported regionsVariantsImportant roleStrong evidencePolymorphismBipolar disorderRegion
2010
Maximal conditional chi-square importance in random forests
Wang M, Chen X, Zhang H. Maximal conditional chi-square importance in random forests. Bioinformatics 2010, 26: 831-837. PMID: 20130032, PMCID: PMC2832825, DOI: 10.1093/bioinformatics/btq038.Peer-Reviewed Original Research
2004
Results of a genomewide linkage scan: Support for chromosomes 9 and 11 loci increasing risk for cigarette smoking
Gelernter J, Liu X, Hesselbrock V, Page GP, Goddard A, Zhang H. Results of a genomewide linkage scan: Support for chromosomes 9 and 11 loci increasing risk for cigarette smoking. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2004, 128B: 94-101. PMID: 15211640, DOI: 10.1002/ajmg.b.30019.Peer-Reviewed Original Research