Moore, Jason H.
Cedars-Sinai Medical Center
23 papers on CoChatORCID 0000-0002-5015-1099
Most cited papers
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The Genetic Structure and History of Africans and African Americans
Tishkoff, S. A., Reed, F. A., Friedlaender, F. R., Ehret, C., Ranciaro, A., Froment, A., Hirbo, J. B., Awomoyi, A. A., Bodo, J.-M., Doumbo, O., et al. (2009) · Science
Forensic and Genetic ResearchGenetic diversity and population structure
Cited by 1,573
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Relief-based feature selection: Introduction and review
Urbanowicz, R. J., Meeker, M., La Cava, W., Olson, R. S., & Moore, J. H. (2018) · Journal of Biomedical Informatics
Artificial Intelligence in HealthcareGene expression and cancer classification
Cited by 1,311
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Chapter 11: Genome-wide association studies
Bush, W. S., & Moore, J. H. (2012) · PLoS Computational Biology
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 1,171
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Characterization of MicroRNA Expression Levels and Their Biological Correlates in Human Cancer Cell Lines
Gaur, A., Jewell, D. A., Liang, Y., Ridzon, D., Moore, J. H., Chen, C., Ambros, V. R., & Israel, M. A. (2007) · Cancer Research
MicroRNA in disease regulationCancer-related molecular mechanisms research
Cited by 727
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ChatGPT and large language models in academia: opportunities and challenges
Meyer, J. G., Urbanowicz, R. J., Martin, P. C. N., O’Connor, K., Li, R., Peng, P.-C., Bright, T. J., Tatonetti, N., Won, K. J., Gonzalez-Hernandez, G., et al. (2023) · BioData Mining
Artificial Intelligence in EducationEthics and Social Impacts of AI
Cited by 569
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A High-Density Admixture Map for Disease Gene Discovery in African Americans
Smith, M. W., Patterson, N., Lautenberger, J. A., Truelove, A. L., McDonald, G. J., Waliszewska, A., Kessing, B. D., Malasky, M. J., Scafe, C., Le, E., et al. (2004) · The American Journal of Human Genetics
Forensic and Genetic ResearchGenetic Associations and Epidemiology
Cited by 459
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Alzheimer’s Disease Neuroimaging Initiative biomarkers as quantitative phenotypes: Genetics core aims, progress, and plans
Saykin, A. J., Shen, L., Foroud, T. M., Potkin, S. G., Swaminathan, S., Kim, S., Risacher, S. L., Nho, K., Huentelman, M. J., Craig, D. W., et al. (2010) · Alzheimer's & Dementia
Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments
Cited by 442
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Gut microbial colonisation in premature neonates predicts neonatal sepsis
Madan, J. C., Salari, R. C., Saxena, D., Davidson, L., O'Toole, G. A., Moore, J. H., Sogin, M. L., Foster, J. A., Edwards, W. H., Palumbo, P., et al. (2012) · Archives of Disease in Childhood - Fetal and Neonatal Edition
Neonatal and Maternal InfectionsGut microbiota and health
Cited by 340
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Data-driven advice for applying machine learning to bioinformatics problems
Olson, R. S., Cava, W. L., Mustahsan, Z., Varik, A., & Moore, J. H. (2018) · Biocomputing 2018
Machine Learning in BioinformaticsMachine Learning and Data Classification
Cited by 287
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Benchmarking in Optimization: Best Practice and Open Issues
Bartz-Beielstein, T., Doerr, C., Berg, D. V. D., Bossek, J., Chandrasekaran, S., Eftimov, T., Fischbach, A., Kerschke, P., La Cava, W., Lopez-Ibanez, M., et al. (2020) · arXiv
Metaheuristic Optimization Algorithms ResearchAdvanced Optimization Algorithms Research
Cited by 214
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Shadows of complexity: what biological networks reveal about epistasis and pleiotropy
Tyler, A. L., Asselbergs, F. W., Williams, S. M., & Moore, J. H. (2009) · BioEssays
Bioinformatics and Genomic NetworksGene Regulatory Network Analysis
Cited by 185
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The Cosmos Collaborative: A Vendor-Facilitated Electronic Health Record Data Aggregation Platform
Tarabichi, Y., Frees, A., Honeywell, S., Huang, C., Naidech, A. M., Moore, J. H., & Kaelber, D. C. (2021) · ACI Open
Electronic Health Records SystemsMedical Coding and Health Information
Cited by 139
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What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask
Kohane, I. S., Aronow, B. J., Avillach, P., Beaulieu-Jones, B. K., Bellazzi, R., Bradford, R. L., Brat, G. A., Cannataro, M., Cimino, J. J., García-Barrio, N., et al. (2021) · Journal of Medical Internet Research
Electronic Health Records SystemsMedical Coding and Health Information
Cited by 113
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Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm
Duan, R., Boland, M. R., Liu, Z., Liu, Y., Chang, H. H., Xu, H., Chu, H., Schmid, C. H., Forrest, C. B., Holmes, J. H., et al. (2020) · Journal of the American Medical Informatics Association
Privacy-Preserving Technologies in DataMachine Learning in Healthcare
Cited by 99
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Bladder cancer SNP panel predicts susceptibility and survival
Andrew, A. S., Gui, J., Sanderson, A. C., Mason, R. A., Morlock, E. V., Schned, A. R., Kelsey, K. T., Marsit, C. J., Moore, J. H., & Karagas, M. R. (2009) · Human Genetics
Genetic Associations and EpidemiologyBladder and Urothelial Cancer Treatments
Cited by 98
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Elevated male European and female African contributions to the genomes of African American individuals
Lind, J. M., Hutcheson-Dilks, H. B., Williams, S. M., Moore, J. H., Essex, M., Ruiz-Pesini, E., Wallace, D. C., Tishkoff, S. A., O’Brien, S. J., & Smith, M. W. (2006) · Human Genetics
Forensic and Genetic ResearchRace, Genetics, and Society
Cited by 88
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Diagnostic biomarkers to differentiate sepsis from cytokine release syndrome in critically ill children
Diorio, C., Shaw, P. A., Pequignot, E., Orlenko, A., Chen, F., Aplenc, R., Barrett, D. M., Bassiri, H., Behrens, E., DiNofia, A. M., et al. (2020) · Blood Advances
Sepsis Diagnosis and TreatmentCAR-T cell therapy research
Cited by 61
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Personalized medicine: genetic variation and loss of physiologic complexity are associated with mortality in 644 trauma patients
Norris, P. R., Canter, J. A., Jenkins, J. M., Moore, J. H., Williams, A. E., & Morris, J. A. (2009) · Annals of Surgery
Heart Rate Variability and Autonomic ControlSepsis Diagnosis and Treatment
Cited by 40
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Plasma biomarkers associated with adverse outcomes in patients with calcific aortic stenosis
Vidula, M. K., Orlenko, A., Zhao, L., Salvador, L., Small, A. M., Horton, E., Cohen, J. B., Adusumalli, S., Denduluri, S., Kobayashi, T., et al. (2021) · European Journal of Heart Failure
Cardiac Valve Diseases and TreatmentsAortic Disease and Treatment Approaches
Cited by 38
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Connecting the dots between genes, biochemistry, and disease susceptibility: systems biology modeling in human genetics
Moore, J. H., Boczko, E. M., & Summar, M. L. (2005) · Molecular Genetics and Metabolism
Gene Regulatory Network AnalysisBioinformatics and Genomic Networks
Cited by 32
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Unsupervised modeling and genome-wide association identify novel features of allergic march trajectories
Gabryszewski, S. J., Chang, X., Dudley, J. W., Mentch, F., March, M., Holmes, J. H., Moore, J., Grundmeier, R. W., Hakonarson, H., & Hill, D. A. (2021) · Journal of Allergy and Clinical Immunology
Food Allergy and Anaphylaxis ResearchAsthma and respiratory diseases
Cited by 31
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The promise of AI and technology to improve quality of life and care for older adults
Abadir, P. M., Chellappa, R., Choudhry, N., Demiris, G., Ganesan, D., Karlawish, J., Li, R. M., Moore, J. H., Walston, J. D., AITCs, D. &. A. O. T., et al. (2023) · Nature Aging
Technology Use by Older AdultsArtificial Intelligence in Healthcare and Education
Cited by 24
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Eleven quick tips for architecting biomedical informatics workflows with cloud computing
Cole, B. S., & Moore, J. H. (2018) · PLOS Computational Biology
Cloud Computing and Resource ManagementScientific Computing and Data Management
Cited by 17
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