Incorporating deep-learning-derived variant effect predictions into rare-variant association tests with the goal to identify rare disease mechanisms or protective factors
Learning informative features with deep neural networks from regulatory genomics datasets, and using those features for genetic variant interpretation and in association tests
Contact
Chair Representative:
Prof. Dr. Christoph Lippert Professor for Digital Health & Machine Learning Room: G-2.1.23 Tel.: +49-(0)331 5509-4850 E-Mail: office-lippert(at)hpi.de
Office:
Campus III, Haus G2 Room: G-2.1.22 Tel.: +49-(0)331 5509-4850 Fax: +49-(0)331 5509-4849 E-Mail: office-lippert(at)hpi.de
Visiting address:
Campus III Building G2 Rudolf-Breitscheid-Straße 187 14482 Potsdam, Germany
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07.10.2024
| Digital Health Partnership Workshop and Hackathon
Digital Health Partnership Workshop and Hackathon
7 - 11 and 14 - 15 October 2024
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27.06.2024
| Digital Health Partnership Information Session
The Information Session will take place on 27 June from 3 to 5 pm (CEST) and will be held virtually.
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15.06.2024
| HPI/Mount Sinai Partnership Call for Proposals
HPI/Mount Sinai Partnership Call for Proposals
15 June 2024 - Call for proposals
15 August 2024 - Submission Deadline
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