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Jason H. Moore

Affiliations: 
Program in Human Genetics, Bronxville, NY, United States 
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Parents

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Charles Frederick Sing grad student (GenetiTree)

Children

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Eric Areheart grad student Program in Human Genetics
Diana Chernikova grad student Dartmouth
Richard Cowper grad student Dartmouth
Rishika De grad student Program in Human Genetics
Robert Frost grad student Program in Human Genetics
Jing Li grad student Dartmouth
Krissy Pattin grad student Dartmouth
Marylyn D. Ritchie grad student 2004 Vanderbilt
David M. Reif grad student 2002-2006 Penn
Casey S. Greene grad student 2009 Dartmouth
Sarah A. Pendergrass grad student 2009 Dartmouth
Kristine A. Pattin grad student 2010 Dartmouth
Chantel Sloan grad student 2010 Dartmouth
Anna L. Tyler grad student 2010 Dartmouth (Neurotree)
Richard Cowper-Sal.lari grad student 2012 Dartmouth
Ryan J. Urbanowicz grad student 2012 Dartmouth
Nadia M. Penrod grad student 2013 Dartmouth
Qinxin Pan grad student 2014 Dartmouth
Dov A. Pechenick grad student 2014 Dartmouth
Nima Pouladi grad student 2014 Dartmouth
Hildreth R. Frost grad student 2015 Dartmouth
Brett K. Beaulieu-Jones grad student 2013-2017 University of Pennsylvania Perelman School of Medicine
Elizabeth Piette grad student 2013-2017 University of Pennsylvania Perelman School of Medicine
Diane Gilbert-Diamond post-doc Dartmouth
Nadia Penrod post-doc Dartmouth
Geoffrey Siwo post-doc University of Pennsylvania Perelman School of Medicine
Ruowang Li post-doc 2016- Penn
Joseph D Romano post-doc 2019- Penn (GenetiTree)
Christian Darabos post-doc 2010-2015 Dartmouth

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BETA: Related publications

Publications

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Li R, Benz L, Duan R, et al. (2024) mixWAS: An efficient distributed algorithm for mixed-outcomes genome-wide association studies. Medrxiv : the Preprint Server For Health Sciences
Li R, Duan R, He L, et al. (2024) Risk prediction: Methods, Challenges, and Opportunities. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 29: 650-653
Moore JH, Li X, Chang JH, et al. (2024) SynTwin: A graph-based approach for predicting clinical outcomes using digital twins derived from synthetic patients. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 29: 96-107
Tong B, Zhou Z, Tarzanagh DA, et al. (2023) Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection. Machine Learning in Medical Imaging. Mlmi (Workshop). 14349: 144-154
Tong J, Duan R, Li R, et al. (2023) Publisher Correction: Quantifying and correcting bias due to outcome dependent self-reported weights in longitudinal study of weight loss interventions. Scientific Reports. 13: 22546
Tong J, Duan R, Li R, et al. (2023) Quantifying and correcting bias due to outcome dependent self-reported weights in longitudinal study of weight loss interventions. Scientific Reports. 13: 19078
Romano JD, Mei L, Senn J, et al. (2023) Exploring genetic influences on adverse outcome pathways using heuristic simulation and graph data science. Computational Toxicology (Amsterdam, Netherlands). 25
Hao Y, Romano JD, Moore JH. (2023) Knowledge graph aids comprehensive explanation of drug and chemical toxicity. Cpt: Pharmacometrics & Systems Pharmacology
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
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