2025
GE-IA-NAM: gene–environment interaction analysis via imaging-assisted neural additive model
Li J, Xu Y, Ma S, Fang K. GE-IA-NAM: gene–environment interaction analysis via imaging-assisted neural additive model. Bioinformatics 2025, 41: btaf481. PMID: 40880282, PMCID: PMC12452269, DOI: 10.1093/bioinformatics/btaf481.Peer-Reviewed Original ResearchConceptsGene-environmentNeural additive modelsGene-environment modelGene-environment analysisGene-environment interaction analysisEnvironmental factorsCancer Genome AtlasPathological imagesSkin cancer datasetGenome AtlasCancer datasetsNetwork architectureCompetitive performanceGenetic factorsPython codeCancer outcomesInteraction analysisData patternsCancer researchAdditive modelInteraction methodEnvironmental dataJoint analysisCancer modelsRegression-based
2024
Information‐incorporated sparse hierarchical cancer heterogeneity analysis
Han W, Zhang S, Ma S, Ren M. Information‐incorporated sparse hierarchical cancer heterogeneity analysis. Statistics In Medicine 2024, 43: 2280-2297. PMID: 38553996, PMCID: PMC12201913, DOI: 10.1002/sim.10071.Peer-Reviewed Original Research
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