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Effective March 10, 2020, all Duke-sponsored events over 50 people have been cancelled, rescheduled, postponed or virtualized.
Please check with the event contact regarding event status. For more information, please see https://coronavirus.duke.edu/events

Using Machine Learning to Predict the Impact of Non-coding Genetic Variation and Enhancer-Promoter Interactions

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Monday, March 18, 2019
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11:30 am - 12:30 pm
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Michael Beer
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CBB Seminar Series

Dr. Michael Beer, John Hopkins University, Biomedical Engineering and McKusick-Nathans Institute of Genetic Medicine

Type: LECTURE/TALK
Contact: Liz Labriola