2020
iDASH secure genome analysis competition 2018: blockchain genomic data access logging, homomorphic encryption on GWAS, and DNA segment searching
Kuo T, Jiang X, Tang H, Wang X, Bath T, Bu D, Wang L, Harmanci A, Zhang S, Zhi D, Sofia H, Ohno-Machado L. iDASH secure genome analysis competition 2018: blockchain genomic data access logging, homomorphic encryption on GWAS, and DNA segment searching. BMC Medical Genomics 2020, 13: 98. PMID: 32693816, PMCID: PMC7372776, DOI: 10.1186/s12920-020-0715-0.Peer-Reviewed Original ResearchMeSH KeywordsBlockchainDatasets as TopicDNAGenome, HumanGenome-Wide Association StudyHumansModels, Theoretical
2016
Weakly supervised learning of biomedical information extraction from curated data
Jain S, R. K, Kuo T, Bhargava S, Lin G, Hsu C. Weakly supervised learning of biomedical information extraction from curated data. BMC Bioinformatics 2016, 17: s1. PMID: 26817711, PMCID: PMC4847485, DOI: 10.1186/s12859-015-0844-1.Peer-Reviewed Original ResearchMeSH KeywordsAbstracting and IndexingData CurationData MiningDatabases, FactualDiseaseGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansRisk AssessmentConceptsTraining examplesInformation extractionGenome-wide association studiesCommittee of weak classifiersCurated dataInformation extraction tasksBiomedical information extractionWeakly supervised learningCost-sensitive learningBiomedical text miningSupervised machine learningNoisy labelsWeak classifiersExtraction taskInformation extractorExpert annotationsBig dataMachine learningText miningBaseline counterpartExperimental resultsAssociation studiesTarget phenotypeBiomedical databasesTask