<p>Metadata prediction from epigenomic data applied to over 43,000 public datasets</p>

Joanny Raby; Gabriella Frosi; Frédérique White; Jonathan Laperle; Pierre-Étienne Jacques; IHEC - International Human Epigenome Consortium

doi:10.7490/f1000research.1119951.1

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Raby J, Frosi G, White F et al. Metadata prediction from epigenomic data applied to over 43,000 public datasets [version 1; not peer reviewed]. F1000Research 2024, 13:1248 (poster) (https://doi.org/10.7490/f1000research.1119951.1)

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Metadata prediction from epigenomic data applied to over 43,000 public datasets

Joanny Raby¹, Gabriella Frosi, Frédérique White, Jonathan Laperle, Pierre-Étienne Jacques², IHEC - International Human Epigenome Consortium

Published 17 Oct 2024 (https://doi.org/10.7490/f1000research.1119951.1)

Author Affiliations

¹ Computer Science, Universite de Sherbrooke, Sherbrooke, Québec, Canada
² Biology, Universite de Sherbrooke, Sherbrooke, Québec, Canada

Copyright © 2024 Raby J 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 17 Oct 2024

Metadata prediction from epigenomic data applied to over 43,000 public datasets
[version 1; not peer reviewed]

Joanny Raby¹, Gabriella Frosi, Frédérique White, Jonathan Laperle, Pierre-Étienne Jacques², IHEC - International Human Epigenome Consortium

Author Affiliations

¹ Computer Science, Universite de Sherbrooke, Sherbrooke, Québec, Canada
² Biology, Universite de Sherbrooke, Sherbrooke, Québec, Canada

Presented at

Intelligent Systems for Molecular Biology Conference (ISMB), 2025

Annual Canadian Conference on Epigenetics 2024

Abstract

Competing Interests

No competing interests were disclosed

Keywords

machine learning, deep learning, neural network, epigenetics, epigenomics, classification, metadata, supervised learning

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