2014
Joint Modeling and Registration of Cell Populations in Cohorts of High-Dimensional Flow Cytometric Data
Pyne S, Lee SX, Wang K, Irish J, Tamayo P, Nazaire MD, Duong T, Ng SK, Hafler D, Levy R, Nolan GP, Mesirov J, McLachlan GJ. Joint Modeling and Registration of Cell Populations in Cohorts of High-Dimensional Flow Cytometric Data. PLOS ONE 2014, 9: e100334. PMID: 24983991, PMCID: PMC4077578, DOI: 10.1371/journal.pone.0100334.Peer-Reviewed Original ResearchConceptsMultivariate probability distributionProbability distributionMultivariate responseJCM modelMultiple experimental conditionsJoint modelingJoint clusteringSimultaneous modelingComputational methodsRegistration of populationTypical experimentModelingNew samplesModelJCMFlow cytometric dataMultiparametric cytometrySystem-level variationApplicationspRESTO: a toolkit for processing high-throughput sequencing raw reads of lymphocyte receptor repertoires
Vander Heiden JA, Yaari G, Uduman M, Stern JN, O'Connor KC, Hafler DA, Vigneault F, Kleinstein SH. pRESTO: a toolkit for processing high-throughput sequencing raw reads of lymphocyte receptor repertoires. Bioinformatics 2014, 30: 1930-1932. PMID: 24618469, PMCID: PMC4071206, DOI: 10.1093/bioinformatics/btu138.Peer-Reviewed Original Research
2004
Methods for High-Density Admixture Mapping of Disease Genes
Patterson N, Hattangadi N, Lane B, Lohmueller KE, Hafler DA, Oksenberg JR, Hauser SL, Smith MW, O’Brien S, Altshuler D, Daly MJ, Reich D. Methods for High-Density Admixture Mapping of Disease Genes. American Journal Of Human Genetics 2004, 74: 979-1000. PMID: 15088269, PMCID: PMC1181990, DOI: 10.1086/420871.Peer-Reviewed Original Research