Single-cell biclustering for cell-specific transcriptomic perturbation detection in AD progression
Gong Y, Xu J, Wu M, Gao R, Sun J, Yu Z, Zhang Y. Single-cell biclustering for cell-specific transcriptomic perturbation detection in AD progression. Cell Reports Methods 2024, 4: 100742. PMID: 38554701, PMCID: PMC11045878, DOI: 10.1016/j.crmeth.2024.100742.Peer-Reviewed Original ResearchConceptsSnRNA-seq dataGene modulesAD progressionPathogenesis of Alzheimer's diseaseBiologically interpretable resultsSingle-cell data analysisGene regulatory changesFunctional gene modulesGene coexpression patternsAlzheimer's diseaseSingle-cell levelSnRNA-seqBiclustering methodsPolygenic diseaseBatch effectsDropout eventsCoexpression patternsNetwork biomarkersCell typesBiclusteringCellsGenesScRNABiologyComparative analysisA generalized calibrated Bayesian hierarchical modeling approach to basket trials with multiple endpoints
Chi X, Yuan Y, Yu Z, Lin R. A generalized calibrated Bayesian hierarchical modeling approach to basket trials with multiple endpoints. Biometrical Journal 2024, 66: e2300122. PMID: 38368277, PMCID: PMC11323483, DOI: 10.1002/bimj.202300122.Peer-Reviewed Original ResearchMeSH KeywordsBayes TheoremComputer SimulationHumansMolecular Targeted TherapyNeoplasmsResearch DesignConceptsBayesian hierarchical modeling approachShrinkage parameterTheoretical propertiesPhase II basket trialBasket trialsSimulation studyHierarchical modelHierarchical modeling approachFunctional formGeneral hierarchical modelEfficacy endpointLatent variable approachApproach yieldsRisk-benefit profileVariable approachImmunotherapy agentsTumor responseGeneralizationTargeted therapyCancer subtypesMultiple cancer subtypesTreatment effectsMonitoring procedures