2023
A guide to the BRAIN Initiative Cell Census Network data ecosystem
Hawrylycz M, Martone M, Ascoli G, Bjaalie J, Dong H, Ghosh S, Gillis J, Hertzano R, Haynor D, Hof P, Kim Y, Lein E, Liu Y, Miller J, Mitra P, Mukamel E, Ng L, Osumi-Sutherland D, Peng H, Ray P, Sanchez R, Regev A, Ropelewski A, Scheuermann R, Tan S, Thompson C, Tickle T, Tilgner H, Varghese M, Wester B, White O, Zeng H, Aevermann B, Allemang D, Ament S, Athey T, Baker C, Baker K, Baker P, Bandrowski A, Banerjee S, Bishwakarma P, Carr A, Chen M, Choudhury R, Cool J, Creasy H, D’Orazi F, Degatano K, Dichter B, Ding S, Dolbeare T, Ecker J, Fang R, Fillion-Robin J, Fliss T, Gee J, Gillespie T, Gouwens N, Zhang G, Halchenko Y, Harris N, Herb B, Hintiryan H, Hood G, Horvath S, Huo B, Jarecka D, Jiang S, Khajouei F, Kiernan E, Kir H, Kruse L, Lee C, Lelieveldt B, Li Y, Liu H, Liu L, Markuhar A, Mathews J, Mathews K, Mezias C, Miller M, Mollenkopf T, Mufti S, Mungall C, Orvis J, Puchades M, Qu L, Receveur J, Ren B, Sjoquist N, Staats B, Tward D, van Velthoven C, Wang Q, Xie F, Xu H, Yao Z, Yun Z, Zhang Y, Zheng W, Zingg B. A guide to the BRAIN Initiative Cell Census Network data ecosystem. PLOS Biology 2023, 21: e3002133. PMID: 37390046, PMCID: PMC10313015, DOI: 10.1371/journal.pbio.3002133.Peer-Reviewed Original Research
2021
Presence of complete murine viral genome sequences in patient-derived xenografts
Yuan Z, Fan X, Zhu J, Fu T, Wu J, Xu H, Zhang N, An Z, Zheng W. Presence of complete murine viral genome sequences in patient-derived xenografts. Nature Communications 2021, 12: 2031. PMID: 33795676, PMCID: PMC8017013, DOI: 10.1038/s41467-021-22200-5.Peer-Reviewed Original ResearchConceptsPatient-derived xenograftsViral infectionMurine viral infectionHigh virus loadDrug developmentDrug metabolism-related genesVirus loadXenograft experimentsMetabolism-related genesXenograftsUnbiased data-driven approachTumor cellsInfectionExpression levelsEntire viral genomeViral genome sequencesViral sequencesViral genomeCancerImmune
2015
Deciphering Signaling Pathway Networks to Understand the Molecular Mechanisms of Metformin Action
Sun J, Zhao M, Jia P, Wang L, Wu Y, Iverson C, Zhou Y, Bowton E, Roden D, Denny J, Aldrich M, Xu H, Zhao Z. Deciphering Signaling Pathway Networks to Understand the Molecular Mechanisms of Metformin Action. PLOS Computational Biology 2015, 11: e1004202. PMID: 26083494, PMCID: PMC4470683, DOI: 10.1371/journal.pcbi.1004202.Peer-Reviewed Original ResearchConceptsGWAS datasetsPathway networkDisease genesGenome-wide association study datasetDrug targetsSignal transduction networksSignal transduction cascadeMultiple signaling pathwaysDrug-induced gene expressionNovel drug targetsTransduction networksTransduction cascadeEnrichment analysisGene expressionCommon genesMolecular mechanismsSignaling pathwaysGenesNovel MycLiterature miningMolecular modePathwayMetformin actionDrug actionDisease pathogenesis
2012
Advances in systems biology: computational algorithms and applications
Huang Y, Zhao Z, Xu H, Shyr Y, Zhang B. Advances in systems biology: computational algorithms and applications. BMC Systems Biology 2012, 6: s1. PMID: 23281622, PMCID: PMC3524016, DOI: 10.1186/1752-0509-6-s3-s1.Peer-Reviewed Original Research
2006
Natural language processing and visualization in the molecular imaging domain
Tulipano P, Tao Y, Millar W, Zanzonico P, Kolbert K, Xu H, Yu H, Chen L, Lussier Y, Friedman C. Natural language processing and visualization in the molecular imaging domain. Journal Of Biomedical Informatics 2006, 40: 270-281. PMID: 17084109, DOI: 10.1016/j.jbi.2006.08.002.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsCell LineComputational BiologyDatabases, BibliographicDatabases, GeneticDiagnostic ImagingGenomicsHumansInformation Storage and RetrievalNatural Language ProcessingPhenotypeProgramming LanguagesSoftwareSystems IntegrationTerminology as TopicUser-Computer InterfaceVocabulary, ControlledConceptsImaging domainNatural language processing systemsNatural language processingLanguage processing systemJava viewerNLP systemsFormal evaluation studiesLanguage processingInformation resourcesProcessing systemMedical imagingIndex imagesSystem performanceBiological informationInformationImagesVisualizationBioMedLEEPerformanceNLPEvaluation studyDomainGenomics literatureSystemSimultaneous visualizationMachine learning and word sense disambiguation in the biomedical domain: design and evaluation issues
Xu H, Markatou M, Dimova R, Liu H, Friedman C. Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues. BMC Bioinformatics 2006, 7: 334. PMID: 16822321, PMCID: PMC1550263, DOI: 10.1186/1471-2105-7-334.Peer-Reviewed Original ResearchConceptsNatural language processingBiomedical domainInformation retrieval systemsML methodsWSD classifierSense disambiguationMachine learning methodsVector machine classifierError rateWord sense disambiguationRetrieval systemMachine learningML techniquesText miningBiomedical abbreviationsLanguage processingLearning methodsCross-validation methodWSD problemMachine classifierAccurate accessSense distributionClassifierBiomolecular entitiesWSD taskA natural language processing (NLP) tool to assist in the curation of the laboratory Mouse Tumor Biology Database.
Xu H, Krupke D, Blake J, Friedman C. A natural language processing (NLP) tool to assist in the curation of the laboratory Mouse Tumor Biology Database. AMIA Annual Symposium Proceedings 2006, 2006: 1150. PMID: 17238769, PMCID: PMC1839428.Peer-Reviewed Original ResearchConceptsMouse Genome Informatics groupNatural language processing toolsModel organism databaseMouse Tumor Biology DatabaseLanguage processing toolsBiology databasesOrganism databasesGenomic informationBiological communitiesProcessing toolsSpecific organismsInformatics GroupOrganismsKey informationDatabaseInformationSubstantial effortCurationTool