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Meeting Abstract

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

MPS-Authors

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

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

Mueller-Myhsok, B.
Dept. Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Max Planck Society;

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

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.

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