<p>Machine learning applied to higher order functional representations of omics data reveals biological pathways associated with Parkinson‘s Disease</p>

Elisa Gomez de Lope; Enrico Glaab

doi:10.7490/f1000research.1119345.1

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Gomez de Lope E and Glaab E. Machine learning applied to higher order functional representations of omics data reveals biological pathways associated with Parkinson‘s Disease [version 1; not peer reviewed]. F1000Research 2022, 11:1587 (poster) (https://doi.org/10.7490/f1000research.1119345.1)

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Machine learning applied to higher order functional representations of omics data reveals biological pathways associated with Parkinson‘s Disease

Elisa Gomez de Lope¹, Enrico Glaab

Published 29 Dec 2022 (https://doi.org/10.7490/f1000research.1119345.1)

Author Affiliations

¹ University of Luxembourg, Luxembourg

Copyright © 2022 Gomez de Lope E and Glaab E. 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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Published 29 Dec 2022

Machine learning applied to higher order functional representations of omics data reveals biological pathways associated with Parkinson‘s Disease
[version 1; not peer reviewed]

Elisa Gomez de Lope¹, Enrico Glaab

Author Affiliations

¹ University of Luxembourg, Luxembourg

Presented at

European Conference on Computational Biology (ECCB) 2022

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Parkinson's Disease, pathways, omics, machine learning, Pathifier

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