2022
An Artificial Intelligence-guided signature reveals the shared host immune response in MIS-C and Kawasaki disease
Ghosh P, Katkar G, Shimizu C, Kim J, Khandelwal S, Tremoulet A, Kanegaye J, Bocchini J, Das S, Burns J, Sahoo D. An Artificial Intelligence-guided signature reveals the shared host immune response in MIS-C and Kawasaki disease. Nature Communications 2022, 13: 2687. PMID: 35577777, PMCID: PMC9110726, DOI: 10.1038/s41467-022-30357-w.Peer-Reviewed Original ResearchConceptsKawasaki diseaseHost immune responseLaboratory parametersImmune responseSARS-CoV-2 infectionInflammatory syndromeCytokine stormSerum cytokinesClinical featuresCytokine pathwaysCardiac phenotypeSyndromeGene signaturePediatric syndromesViral pandemicHeart tissueCOVID-19COVID-19 pandemicProximal pathwayDiseaseSeverityImmunopathogenesisPandemicCytokinesIllness
2021
Kawasaki Disease Patient Stratification and Pathway Analysis Based on Host Transcriptomic and Proteomic Profiles
Jackson H, Menikou S, Hamilton S, McArdle A, Shimizu C, Galassini R, Huang H, Kim J, Tremoulet A, Thorne A, Fischer R, de Jonge M, Kuijpers T, Wright V, Burns J, Casals-Pascual C, Herberg J, Levin M, Kaforou M, On Behalf Of The Perform Consortium. Kawasaki Disease Patient Stratification and Pathway Analysis Based on Host Transcriptomic and Proteomic Profiles. International Journal Of Molecular Sciences 2021, 22: 5655. PMID: 34073389, PMCID: PMC8198135, DOI: 10.3390/ijms22115655.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentBacterial InfectionsChildChild, PreschoolComputational BiologyFemaleGene Expression ProfilingHumansMaleMucocutaneous Lymph Node SyndromeProteomicsVirus DiseasesConceptsKawasaki diseaseViral infectionHost responseKD patientsAcute inflammatory disordersAnti-bacterial responsePathway analysisBacterial patientsInflammatory disordersInflammatory responsePatient stratificationCommon triggerPatientsKD samplesHost transcriptomicsInfectionProteomic profilesOmics profilesDifferent triggersDiagnostic signatureResponseInflammationTriggersLevelsEtiology
2012
Selecting cases for whom additional tests can improve prognostication.
Jiang X, Kim J, Wu Y, Wang S, Ohno-Machado L. Selecting cases for whom additional tests can improve prognostication. AMIA Annual Symposium Proceedings 2012, 2012: 1260-8. PMID: 23304404, PMCID: PMC3540468.Peer-Reviewed Original ResearchMeSH KeywordsArea Under CurveBreast NeoplasmsFemaleGene ExpressionGene Expression ProfilingGenotypeHumansLogistic ModelsPhenotypePrognosisTranscriptome
2011
AnyExpress: Integrated toolkit for analysis of cross-platform gene expression data using a fast interval matching algorithm
Kim J, Patel K, Jung H, Kuo W, Ohno-Machado L. AnyExpress: Integrated toolkit for analysis of cross-platform gene expression data using a fast interval matching algorithm. BMC Bioinformatics 2011, 12: 75. PMID: 21410990, PMCID: PMC3076267, DOI: 10.1186/1471-2105-12-75.Peer-Reviewed Original Research
2010
Effect of data combination on predictive modeling: a study using gene expression data.
Osl M, Dreiseitl S, Kim J, Patel K, Baumgartner C, Ohno-Machado L. Effect of data combination on predictive modeling: a study using gene expression data. AMIA Annual Symposium Proceedings 2010, 2010: 567-71. PMID: 21347042, PMCID: PMC3041313.Peer-Reviewed Original ResearchDSGeo: Software tools for cross-platform analysis of gene expression data in GEO
Lacson R, Pitzer E, Kim J, Galante P, Hinske C, Ohno-Machado L. DSGeo: Software tools for cross-platform analysis of gene expression data in GEO. Journal Of Biomedical Informatics 2010, 43: 709-715. PMID: 20435161, PMCID: PMC2934864, DOI: 10.1016/j.jbi.2010.04.007.Peer-Reviewed Original ResearchConceptsAggregation of dataData loaderRelational databaseGene expression dataUser preferencesData browserData browsingCross-platform dataSoftware toolsSeamless integrationCross-platform analysisGroups of dataQueriesExpression dataPublic gene expression dataSpecific sample characteristicsLarge resourcesBrowserToolBrowsingAnnotatingUsersRetrievalApplicationsPlatform
2009
Towards large-scale sample annotation in gene expression repositories
Pitzer E, Lacson R, Hinske C, Kim J, Galante P, Ohno-Machado L. Towards large-scale sample annotation in gene expression repositories. BMC Bioinformatics 2009, 10: s9. PMID: 19761579, PMCID: PMC2745696, DOI: 10.1186/1471-2105-10-s9-s9.Peer-Reviewed Original Research