<p>Machine learning models in genome wide association studies of complex traits</p>

Dramane Dagnogo; M Treccani; E Locatelli; M Gallinaro; E D Tomi; L Veschetti; C Patuzzo; N D Dago; G Malerba

doi:10.7490/f1000research.1119308.1

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Dagnogo D, Treccani M, Locatelli E et al. Machine learning models in genome wide association studies of complex traits [version 1; not peer reviewed]. F1000Research 2022, 11:1494 (poster) (https://doi.org/10.7490/f1000research.1119308.1)

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Machine learning models in genome wide association studies of complex traits

Dramane Dagnogo¹, M Treccani, E Locatelli, M Gallinaro, E D Tomi, L Veschetti, C Patuzzo, N D Dago, G Malerba

Published 12 Dec 2022 (https://doi.org/10.7490/f1000research.1119308.1)

Author Affiliations

¹ University of Verona, Italy

Copyright © 2022 Dagnogo 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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Published 12 Dec 2022

Machine learning models in genome wide association studies of complex traits
[version 1; not peer reviewed]

Dramane Dagnogo¹, M Treccani, E Locatelli, M Gallinaro, E D Tomi, L Veschetti, C Patuzzo, N D Dago, G Malerba

Author Affiliations

¹ University of Verona, Italy

Presented at

Bioinformatics and Computational Biology Conference (BBCC), 2022

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Single Nucleotide Polymorphism (SNP), Machine Learning (ML), Feature selection, Accuracy, Genomics

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