2022
Assigning species information to corresponding genes by a sequence labeling framework
Luo L, Wei C, Lai P, Chen Q, Islamaj R, Lu Z. Assigning species information to corresponding genes by a sequence labeling framework. Database 2022, 2022: baac090. PMID: 36227127, PMCID: PMC9558450, DOI: 10.1093/database/baac090.Peer-Reviewed Original ResearchConceptsNovel deep learning-based frameworkDeep learning-based frameworkLearning-based frameworkText mining algorithmsSequence labeling taskGene normalization taskSequence labeling frameworkBinary classification frameworkSource codeBaseline methodsNormalization taskClassification frameworkLabeling taskLabeling frameworkAutomatic assignmentHigh-performance methodHeuristic rulesGene mentionsBenchmarking resultsDatabase URLDatabase recordsAssignment task
2019
ML-Net: multi-label classification of biomedical texts with deep neural networks
Du J, Chen Q, Peng Y, Xiang Y, Tao C, Lu Z. ML-Net: multi-label classification of biomedical texts with deep neural networks. Journal Of The American Medical Informatics Association 2019, 26: 1279-1285. PMID: 31233120, PMCID: PMC7647240, DOI: 10.1093/jamia/ocz085.Peer-Reviewed Original ResearchConceptsMulti-label classificationML-NetBiomedical textEnd deep learning frameworkMulti-label text classificationDeep learning frameworkDeep neural networksTraditional machineDocument contextFeature engineeringText classificationTextual documentsMachine learningNovel endLearning frameworkPrediction networkIndividual classifiersNeural networkHuman effortTarget documentsF-measureArt methodsPrediction mechanismContextual informationLabel counts