2024
PubMed Computed Authors in 2024: an open resource of disambiguated author names in biomedical literature
Tian S, Chen Q, Comeau D, Wilbur W, Lu Z. PubMed Computed Authors in 2024: an open resource of disambiguated author names in biomedical literature. Bioinformatics 2024, 40: btae672. PMID: 39520405, PMCID: PMC11588201, DOI: 10.1093/bioinformatics/btae672.Peer-Reviewed Original ResearchAuthor name disambiguationAuthor namesBiomedical literature searchWeb APIsEnhancement algorithmAuthority datasetsQueryBiomedical literatureDatasetAuthors' algorithmImproved accuracyIndividual researchersAlgorithmPubMed articlesSupplementary dataDisambiguationORCIDLiterature retrievalDownloadRetrievalWebAPIComprehensive datasetBioinformaticsPubTator 3.0: an AI-powered literature resource for unlocking biomedical knowledge
Wei C, Allot A, Lai P, Leaman R, Tian S, Luo L, Jin Q, Wang Z, Chen Q, Lu Z. PubTator 3.0: an AI-powered literature resource for unlocking biomedical knowledge. Nucleic Acids Research 2024, 52: w540-w546. PMID: 38572754, PMCID: PMC11223843, DOI: 10.1093/nar/gkae235.Peer-Reviewed Original ResearchState-of-the-art AI techniquesState-of-the-artComplex information needsAdvanced search capabilitiesPairs queriesEntity relationsRetrieval qualitySearch capabilityAI techniquesLiterature resourcesPubTatorInformation needsPubMed abstractsBiomedical literatureOnline interfaceLarge-scale analysisGenetic variantsBiomedical knowledgeAPIScientific discoveryComprehensive setChatGPTQueryVerifiabilityRetrieval
2020
BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale
Chen Q, Lee K, Yan S, Kim S, Wei C, Lu Z. BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale. PLOS Computational Biology 2020, 16: e1007617. PMID: 32324731, PMCID: PMC7237030, DOI: 10.1371/journal.pcbi.1007617.Peer-Reviewed Original ResearchConceptsConcept embeddingsNER toolsLearning modelBiomedical text mining applicationsAdvanced deep learning modelsDifferent machine learning modelsEvaluation resultsText mining applicationsDeep learning modelsSemantics of conceptsMachine learning modelsLiterature-based discoveryConcept recognitionDifferent machineProtein-protein interaction predictionPubMed abstractsRecognition toolsMassive numberVector representationBiomedical conceptsLarge marginExtrinsic evaluationBiomedical literatureIntrinsic evaluationSemantic relatedness
2019
LitSense: making sense of biomedical literature at sentence level
Allot A, Chen Q, Kim S, Alvarez R, Comeau D, Wilbur W, Lu Z. LitSense: making sense of biomedical literature at sentence level. Nucleic Acids Research 2019, 47: w594-w599. PMID: 31020319, PMCID: PMC6602490, DOI: 10.1093/nar/gkz289.Peer-Reviewed Original ResearchConceptsFirst web-based systemFilter search resultsNeural embedding approachBiomedical literatureUser-friendly interfaceWeb-based systemTerm-weighting approachUser queriesQuery formulationUnified accessKeyword matchesBiomedical entitiesSentence retrievalResults visualizationSearch resultsEmbedding approachCurrent toolsQueriesRetrievalSentence levelRare termsRelevant resultsSignificant effortsPrevious knowledgePubTator