<p>Representation learning bridged association mapping in complex disorders</p>

David Enoma; Ariel Ghislain Kemogne Kamdoum; Sasha Chernenkoff; Quan  Long

doi:10.7490/f1000research.1119990.1

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Enoma D, Kemogne Kamdoum AG, Chernenkoff S and Long Q. Representation learning bridged association mapping in complex disorders [version 1; not peer reviewed]. F1000Research 2024, 13:1339 (poster) (https://doi.org/10.7490/f1000research.1119990.1)

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Representation learning bridged association mapping in complex disorders

David Enoma¹, Ariel Ghislain Kemogne Kamdoum, Sasha Chernenkoff, Quan Long

Published 07 Nov 2024 (https://doi.org/10.7490/f1000research.1119990.1)

Author Affiliations

¹ Biochemistry and Molecular Biology, University of Calgary, Calgary, Alberta, Canada

Copyright © 2024 Enoma D et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 07 Nov 2024

Representation learning bridged association mapping in complex disorders
[version 1; not peer reviewed]

David Enoma¹, Ariel Ghislain Kemogne Kamdoum, Sasha Chernenkoff, Quan Long

Author Affiliations

¹ Biochemistry and Molecular Biology, University of Calgary, Calgary, Alberta, Canada

Presented at

Intelligent Systems for Molecular Biology Conference (ISMB), 2025

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Representation Learning, Genome wide-association studies, Schizophrenia, Precision Medicine

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