2023
Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing
Smajlović H, Shajii A, Berger B, Cho H, Numanagić I. Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing. Genome Biology 2023, 24: 5. PMID: 36631897, PMCID: PMC9832703, DOI: 10.1186/s13059-022-02841-5.Peer-Reviewed Original ResearchConceptsSecure multiparty computationHigh-performance frameworkMultiparty computationMPC applicationsSensitive biomedical dataRapid application developmentPython programming languageCompile-time optimizationBiomedical data sharingCryptographic toolsApplication developmentInvolved entitiesProgramming languageBioinformatics tasksData sharingBiomedical dataPrivate informationComputationFrameworkUsabilitySharingApplicationsSyntaxPerformanceTask
2015
Exploiting ontology graph for predicting sparsely annotated gene function
Wang S, Cho H, Zhai C, Berger B, Peng J. Exploiting ontology graph for predicting sparsely annotated gene function. Bioinformatics 2015, 31: i357-i364. PMID: 26072504, PMCID: PMC4542782, DOI: 10.1093/bioinformatics/btv260.Peer-Reviewed Original ResearchConceptsFunction prediction algorithmsPrediction algorithmVariety of algorithmsFunctional labelsOntology graphCross-validation experimentsOverfitting problemGraph structurePrevious stateGene functionAlgorithmAnnotation catalogsTens of thousandsMolecular interaction networksFunction predictionOntology databasePoor predictive performanceAnnotationLabelsPredictive performanceGene Ontology databaseInformationLarge numberGO termsInteraction networks