2025
Network-based modeling of emotional expressions for multiple cancers via a linguistic analysis of an online health community
Fan X, Liu M, Ma S. Network-based modeling of emotional expressions for multiple cancers via a linguistic analysis of an online health community. The Annals Of Applied Statistics 2025, 19: 2218-2236. DOI: 10.1214/25-aoas2047.Peer-Reviewed Original ResearchOnline health communitiesNetwork-based modelModel of emotional expressionsLow-rank matrixAmerican Cancer Society Cancer Survivors NetworkHealth communityFear of judgmentSemantic networkNetwork analysis techniquesComputational propertiesSurvivors NetworkSimulation resultsNetworkAdverse emotionsLinguistic analysisCluster structureSingle diseaseCancer patientsPenalization approachCancer typesEmotional expressionCancerAnalysis techniquesComputerData analysisJoint modeling of mixed outcomes using a rank-based sparse neural network
Xue J, Xu Y, Li J, Ma S, Fang K. Joint modeling of mixed outcomes using a rank-based sparse neural network. Journal Of Biomedical Informatics 2025, 169: 104870. PMID: 40623577, PMCID: PMC12306493, DOI: 10.1016/j.jbi.2025.104870.Peer-Reviewed Original ResearchSparse neural networksNeural networkCompetitive performanceImbalance issueLoss functionSparse layerLeverage informationPrediction accuracyTraditional methodsNetworkParametric frameworkPenalization methodFaces challengesJoint modelPrediction modelInformationSkin cutaneous melanomaHigh-throughput profilingHigh-dimensional covariatesDimensionalityGenomic researchFeaturesMethodSimulation studyBiomedical studiesSubgroup Analysis of Differential Networks with Latent Variables
Li L, Ma S, Zhang Q. Subgroup Analysis of Differential Networks with Latent Variables. Statistics And Computing 2025, 35: 140. DOI: 10.1007/s11222-025-10681-z.Peer-Reviewed Original ResearchLow-rank structureSubgroup networksBaseline networkCompetitive performanceDifferential networksReal-world observational dataLatent variablesEfficient computational algorithmNetworkSparsityHeterogeneity analysis methodComputational algorithmInfluence of latent variablesDense networkSubgroup structureStatistical propertiesAlgorithmNetwork analysisSimulation studyMethodAnalysis methodDifferential network analysis
2024
Estimation of multiple networks with common structures in heterogeneous subgroups
Qin X, Hu J, Ma S, Wu M. Estimation of multiple networks with common structures in heterogeneous subgroups. Journal Of Multivariate Analysis 2024, 202: 105298. PMID: 38433779, PMCID: PMC10907012, DOI: 10.1016/j.jmva.2024.105298.Peer-Reviewed Original ResearchGaussian graphical modelsMultiple networksGraphical modelsSparse regression problemHigh-dimensional data analysisNetwork estimationMinimax concave penaltyLarge-scale dataRegularized likelihoodJoint estimation approachRegression problemSelection consistency propertyConcave penaltyComplex dependence structureNetworkBreast cancer dataConsistency propertiesConvexity propertiesTCGA breast cancer dataNetwork identificationReparameterization techniqueEstimation approachDistributional assumptionsDependence structureBiological networks
2022
Heterogeneous Graphical Model for Non-Negative and Non-Gaussian PM2.5 data
Zhang J, Fan X, Li Y, Ma S. Heterogeneous Graphical Model for Non-Negative and Non-Gaussian PM2.5 data. Journal Of The Royal Statistical Society Series C (Applied Statistics) 2022, 71: 1303-1329. DOI: 10.1111/rssc.12575.Peer-Reviewed Original Research
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