2024
A penalized integrative deep neural network for variable selection among multiple omics datasets
Li Y, Ren X, Yu H, Sun T, Ma S. A penalized integrative deep neural network for variable selection among multiple omics datasets. Quantitative Biology 2024, 12: 313-323. DOI: 10.1002/qub2.51.Peer-Reviewed Original ResearchOmics data analysisAvailability of omics dataMultiple omics datasetsGene expression datasetsAggregate multiple datasetsDeep neural networksOmics dataIntegrated deep neural networkOmics datasetsExpression datasetsMultiple datasetsDeep learningDiverse originsNeural networkOmicsAbstract Deep learningVariable selection resultsSample sizeVariable selectionIntegrated analysis frameworkCognitive statusOvarian cancer patientsModel interpretationExtensive simulation studyDataset
2021
Conditional score matching for high-dimensional partial graphical models
Fan X, Zhang Q, Ma S, Fang K. Conditional score matching for high-dimensional partial graphical models. Computational Statistics & Data Analysis 2021, 153: 107066. DOI: 10.1016/j.csda.2020.107066.Peer-Reviewed Original ResearchConditional scoreComputational complexityMore general distributionsEffective computational algorithmGraphical modelsStatistical propertiesHigh computational costPartial graphsComputational algorithmComputational costNormalization constantsBreast cancer gene expression datasetsGeneral distributionNetwork constructionCancer gene expression datasetsMultiplicative normalizationMultivariate data analysisGene expression datasetsCompetitive performanceComplexityGraphData analysisModelConstruction approachExpression datasets