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Meeting Abstract

Identification of functionally relevant genetic variants associated with multiple sclerosis using deep learning

MPS-Authors
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Arloth,  J.
Dept. Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Max Planck Society;

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Andlauer,  T.
Dept. Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Max Planck Society;

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Mueller-Myhsok,  B.
RG Statistical Genetics, Max Planck Institute of Psychiatry, Max Planck Society;

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Nischwitz,  S.
Max Planck Institute of Psychiatry, Max Planck Society;

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Binder,  E.
Dept. Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Max Planck Society;

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Citation

Arloth, J., Eraslan, G., Andlauer, T., Gieger, C., Gold, R., Heilmann-Heimbach, S., et al. (2019). Identification of functionally relevant genetic variants associated with multiple sclerosis using deep learning. MULTIPLE SCLEROSIS JOURNAL, 25, 906-907.


Cite as: https://hdl.handle.net/21.11116/0000-0009-6F10-9
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