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Editorial
. 2024 May 3:4:1415791.
doi: 10.3389/fbinf.2024.1415791. eCollection 2024.

Editorial: Computational methods for analysis of DNA methylation data, volume II

Pietro Di Lena  1 , Christine Nardini  2 , Matteo Pellegrini  3
Affiliations
Editorial

Editorial: Computational methods for analysis of DNA methylation data, volume II

Pietro Di Lena et al. Front Bioinform. .
No abstract available

Keywords: DNA methylation; DNA methylation age; age acceleration; enrichment analysis; epigenetic clocks.

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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.

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  • Editorial on the Research Topic Computational methods for analysis of DNA methylation data, volume II

References

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    1. Dugué P.-A., Bassett J. K., Joo J. H. E., Jung C., Ming Wong E., Moreno‐Betancur M., et al. (2017). DNA methylation-based biological aging and cancer risk and survival: pooled analysis of seven prospective studies. Int. J. Cancer 142, 1611–1619. 10.1002/ijc.31189 - DOI - PubMed
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    1. Horvath S., Raj K. (2018). DNA methylation-based biomarkers and the epigenetic clock theory of ageing. Nat. Rev. Genet. 19, 371–384. 10.1038/s41576-018-0004-3 - DOI - PubMed

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