<p>Context-specific essential genes identification and prediction by learning multi-omics and network data</p>

Maurizio Giordano; Lucia Maddalena; Mario Manzo; Mario Rosario Guarracino; Ilaria Granata

doi:10.7490/f1000research.1120035.1

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Giordano M, Maddalena L, Manzo M et al. Context-specific essential genes identification and prediction by learning multi-omics and network data [version 1; not peer reviewed]. F1000Research 2024, 13:1456 (slides) (https://doi.org/10.7490/f1000research.1120035.1)

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Context-specific essential genes identification and prediction by learning multi-omics and network data

Maurizio Giordano¹, Lucia Maddalena, Mario Manzo, Mario Rosario Guarracino, Ilaria Granata

Published 02 Dec 2024 (https://doi.org/10.7490/f1000research.1120035.1)

Author Affiliations

¹ Department of Engineering, ICT and Technologies for Energy and Transport (DIITET), Institute for High-Performance Computing and Networking, National Research Council (ICAR-CNR), Naples, Italy

Copyright © 2024 Giordano M 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 02 Dec 2024

Context-specific essential genes identification and prediction by learning multi-omics and network data
[version 1; not peer reviewed]

Maurizio Giordano¹, Lucia Maddalena, Mario Manzo, Mario Rosario Guarracino, Ilaria Granata

Author Affiliations

¹ Department of Engineering, ICT and Technologies for Energy and Transport (DIITET), Institute for High-Performance Computing and Networking, National Research Council (ICAR-CNR), Naples, Italy

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Bioinformatics and Computational Biology Conference (BBCC) 2024

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Essential genes, Context-specificity, CRISPR, Multi-omics, Machine Learning, Deep Learning, Network embedding, Light Gradient Boosting Machine

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