2016
Power estimation for non-standardized multisite studies
Keshavan A, Paul F, Beyer MK, Zhu AH, Papinutto N, Shinohara RT, Stern W, Amann M, Bakshi R, Bischof A, Carriero A, Comabella M, Crane JC, D'Alfonso S, Demaerel P, Dubois B, Filippi M, Fleischer V, Fontaine B, Gaetano L, Goris A, Graetz C, Gröger A, Groppa S, Hafler DA, Harbo HF, Hemmer B, Jordan K, Kappos L, Kirkish G, Llufriu S, Magon S, Martinelli-Boneschi F, McCauley JL, Montalban X, Mühlau M, Pelletier D, Pattany PM, Pericak-Vance M, Cournu-Rebeix I, Rocca MA, Rovira A, Schlaeger R, Saiz A, Sprenger T, Stecco A, Uitdehaag BMJ, Villoslada P, Wattjes MP, Weiner H, Wuerfel J, Zimmer C, Zipp F, Consortium I, Hauser SL, Oksenberg JR, Henry RG. Power estimation for non-standardized multisite studies. NeuroImage 2016, 134: 281-294. PMID: 27039700, PMCID: PMC5656257, DOI: 10.1016/j.neuroimage.2016.03.051.Peer-Reviewed Original Research
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 ResearchMeSH KeywordsAlgorithmsCluster AnalysisComputational BiologyComputer SimulationFlow CytometryHumansSoftwareConceptsMultivariate probability distributionProbability distributionMultivariate responseJCM modelMultiple experimental conditionsJoint modelingJoint clusteringSimultaneous modelingComputational methodsRegistration of populationTypical experimentModelingNew samplesModelJCMFlow cytometric dataMultiparametric cytometrySystem-level variationApplications