Ryan J. Urbanowicz
Affiliations: | Dartmouth College, Hanover, NH, United States |
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"Ryan Urbanowicz"Parents
Sign in to add mentorJason H. Moore | grad student | 2012 | Dartmouth | |
(The Detection and Characterization of Epistasis and Heterogeneity: A Learning Classifier System Approach.) |
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Publications
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Meyer JG, Urbanowicz RJ, Martin PCN, et al. (2023) ChatGPT and large language models in academia: opportunities and challenges. Biodata Mining. 16: 20 |
Wang X, Feng Y, Tong B, et al. (2023) Exploring Automated Machine Learning for Cognitive Outcome Prediction from Multimodal Brain Imaging using STREAMLINE. Amia Joint Summits On Translational Science Proceedings. Amia Joint Summits On Translational Science. 2023: 544-553 |
Tong B, Risacher SL, Bao J, et al. (2023) Comparing Amyloid Imaging Normalization Strategies for Alzheimer's Disease Classification using an Automated Machine Learning Pipeline. Amia Joint Summits On Translational Science Proceedings. Amia Joint Summits On Translational Science. 2023: 525-533 |
Woodward AA, Urbanowicz RJ, Naj AC, et al. (2022) Genetic heterogeneity: Challenges, impacts, and methods through an associative lens. Genetic Epidemiology |
Woodward AA, Taylor DM, Goldmuntz E, et al. (2022) Gene-Interaction-Sensitive enrichment analysis in congenital heart disease. Biodata Mining. 15: 4 |
Holmes JH, Beinlich J, Boland MR, et al. (2021) Why Is the Electronic Health Record So Challenging for Research and Clinical Care? Methods of Information in Medicine |
Hu T, Darabos C, Urbanowicz R. (2020) Editorial: Machine Learning in Genome-Wide Association Studies. Frontiers in Genetics. 11: 593958 |
Moore JH, Barnett I, Boland MR, et al. (2020) Ideas for how informaticians can get involved with COVID-19 research. Biodata Mining. 13: 3 |
Liu Y, Huang J, Urbanowicz RJ, et al. (2020) Back Cover Image Genetic Epidemiology. 44 |
Liu Y, Huang J, Urbanowicz RJ, et al. (2019) Embracing study heterogeneity for finding genetic interactions in large-scale research consortia. Genetic Epidemiology |