Featured Publications
Computational and Statistical Methods for Single-Cell RNA Sequencing Data
Wang Z, Yan X. Computational and Statistical Methods for Single-Cell RNA Sequencing Data. Springer Handbooks Of Computational Statistics 2022, 3-35. DOI: 10.1007/978-3-662-65902-1_1.ChaptersSingle-cell RNA sequencing technologySingle-cell RNA sequencing dataRNA sequencing technologyPhenotype of interestRNA sequencing dataDifferential expression analysisScRNA-seq dataStatistical methodsSequencing technologiesExpression analysisDropout imputationSequencing dataSeq dataDroplet-based technologiesDropout eventsDisease pathogenesisPopulation composition changesData normalizationHigh noise levelsPhenotypeNoise levelTherapeuticsComposition changes
2022
Emerging insights in sarcoidosis: moving forward through reverse translational research
Liu A, Sharma L, Yan X, Dela Cruz CS, Herzog EL, Ryu C. Emerging insights in sarcoidosis: moving forward through reverse translational research. American Journal Of Physiology - Lung Cellular And Molecular Physiology 2022, 322: l518-l525. PMID: 35196896, PMCID: PMC8957321, DOI: 10.1152/ajplung.00266.2021.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsTranslational researchFibrotic lung diseasePulmonary granuloma formationReverse translational researchChronic granulomatous diseaseImmunopathogenic mechanismsLung diseaseUnknown etiologyGranulomatous diseaseGranuloma formationSarcoidosis researchStage IVDisease pathogenesisClinical phenotypeSarcoidosisClinical interventionsDisease model developmentFibrogenesisSignificant proportionFundamental mediatorDiseaseFurther investigationInvestigative effortsHypothesis-driven researchMorbidity