2013
Differential Expression of miR-145 in Children with Kawasaki Disease
Shimizu C, Kim J, Stepanowsky P, Trinh C, Lau H, Akers J, Chen C, Kanegaye J, Tremoulet A, Ohno-Machado L, Burns J. Differential Expression of miR-145 in Children with Kawasaki Disease. PLOS ONE 2013, 8: e58159. PMID: 23483985, PMCID: PMC3590129, DOI: 10.1371/journal.pone.0058159.Peer-Reviewed Original ResearchMeSH KeywordsArteriesBase SequenceChildChild, PreschoolCluster AnalysisGene Expression RegulationHumansInfantMicroRNAsModels, BiologicalMolecular Sequence DataMucocutaneous Lymph Node SyndromeReal-Time Polymerase Chain ReactionSequence AlignmentSequence Analysis, DNASignal TransductionTransforming Growth Factor betaConceptsTGF-β pathwayGene expressionMiR-145Small non-coding RNAsKawasaki disease pathogenesisExtracellular vesiclesSmall RNA speciesPost-transcriptional levelDiscovery of microRNAsKawasaki diseaseNon-coding RNAsExpression of genesDisease pathogenesisSmall extracellular vesiclesSmall RNAsRNA speciesTarget genesTop pathwaysVascular smooth muscle cellsPathway analysisDifferentiation of neutrophilsDifferential expressionMicroRNAsArterial wallGeneration of myofibroblastsComparison of four prediction models to discriminate benign from malignant vertebral compression fractures according to MRI feature analysis.
Thawait S, Kim J, Klufas R, Morrison W, Flanders A, Carrino J, Ohno-Machado L. Comparison of four prediction models to discriminate benign from malignant vertebral compression fractures according to MRI feature analysis. American Journal Of Roentgenology 2013, 200: 493-502. PMID: 23436836, DOI: 10.2214/ajr.11.7192.Peer-Reviewed Original ResearchAdultAgedAged, 80 and overAlgorithmsCohort StudiesComputer SimulationDiagnosis, DifferentialFemaleFractures, CompressionHumansImage EnhancementImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedModels, BiologicalNeoplasmsPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificitySpinal FracturesYoung Adult
2012
Doubly Optimized Calibrated Support Vector Machine (DOC-SVM): An Algorithm for Joint Optimization of Discrimination and Calibration
Jiang X, Menon A, Wang S, Kim J, Ohno-Machado L. Doubly Optimized Calibrated Support Vector Machine (DOC-SVM): An Algorithm for Joint Optimization of Discrimination and Calibration. PLOS ONE 2012, 7: e48823. PMID: 23139819, PMCID: PMC3490990, DOI: 10.1371/journal.pone.0048823.Peer-Reviewed Original Research