2025
Learning-augmented sketching offers improved performance for privacy preserving and secure GWAS
Xu J, Zhu K, Cai J, Kockan C, Dokmai N, Cho H, Woodruff D, Sahinalp S. Learning-augmented sketching offers improved performance for privacy preserving and secure GWAS. IScience 2025, 28: 112011. PMID: 40124506, PMCID: PMC11927738, DOI: 10.1016/j.isci.2025.112011.Peer-Reviewed Original ResearchTrusted Execution EnvironmentGenome-wide association studiesPublic training datasetsComputational resource constraintsOptimize memory usageIntel SGXPrivacy guaranteesPrivacy preservationExecution environmentCloud providersMemory usageMemory constraintsTraining datasetDatasetResource constraintsHigher accuracyPrivacyDedicated memoryExperimental resultsImproved performanceSignificant SNPsGWA studiesAssociation studiesGenotype dataSNPs
2016
Reconstructing Causal Biological Networks through Active Learning
Cho H, Berger B, Peng J. Reconstructing Causal Biological Networks through Active Learning. PLOS ONE 2016, 11: e0150611. PMID: 26930205, PMCID: PMC4773135, DOI: 10.1371/journal.pone.0150611.Peer-Reviewed Original ResearchConceptsGaussian Bayesian networksBayesian networkContinuous Bayesian networksDiscrete Bayesian networksBiological networksFast convergenceGreat practical interestGene regulatory networksGraph structurePractical interestQuantitative propertiesSignificant runtime improvementsComplex biological systemsRuntime improvementCausal biological networksSystems biologyCentral problemFinal distributionPrevious approachesNetwork structureResource constraintsData setsLearning algorithmImportant modelActive learning algorithm
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