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Editorial
. 2024 Jan 30:15:1371473.
doi: 10.3389/fgene.2024.1371473. eCollection 2024.

Editorial: Artificial intelligence and bioinformatics applications for omics and multi-omics studies

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Editorial

Editorial: Artificial intelligence and bioinformatics applications for omics and multi-omics studies

Angelo Facchiano et al. Front Genet. .
No abstract available

Keywords: artificial intelligence; biomedical data science; machine learning; multi-omics; systems biology.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

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  • Editorial on the Research Topic Artificial intelligence and bioinformatics applications for omics and multi-omics studies

References

    1. Chicco D., Heider D., Facchiano A. (2020). Editorial: Artificial intelligence bioinformatics: development and application of tools for omics and inter-omics studies. Front. Genet. 11, 309. 10.3389/fgene.2020.00309 - DOI - PMC - PubMed
    1. Moore J. E., Pratt H. E., Purcaro M. J., Weng Z. (2020). A curated benchmark of enhancer-gene interactions for evaluating enhancer-target gene prediction methods. Genome Biol. 21, 17–16. 10.1186/s13059-019-1924-8 - DOI - PMC - PubMed

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