Epigenetic aging waves: Artificial intelligence detects clustering of switch points in DNA methylation rate in defined sex-dependent age periods

Elad Segev; Tamar Shahal; Thomas Konstantinovsky; Yonit Marcus; Gabi Shefer; Yuval Ebenstein; Metsada Pasmanik-Chor; Naftali Stern

doi:10.1101/2022.10.02.510495

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Epigenetic aging waves: Artificial intelligence detects clustering of switch points in DNA methylation rate in defined sex-dependent age periods

View ORCID ProfileElad Segev, View ORCID ProfileTamar Shahal, View ORCID ProfileThomas Konstantinovsky, View ORCID ProfileYonit Marcus, View ORCID ProfileGabi Shefer, View ORCID ProfileYuval Ebenstein, View ORCID ProfileMetsada Pasmanik-Chor, View ORCID ProfileNaftali Stern

doi: https://doi.org/10.1101/2022.10.02.510495

Elad Segev

1The Sagol Center for Epigenetics of Aging and Metabolism, Institute of Endocrinology, Metabolism and Hypertension, Tel Aviv-Sourasky Medical Center; Sackler Faculty of Medicine, Tel Aviv University, Israel

2Department of Applied Mathematics, Holon Institute of Technology, Israel

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Tamar Shahal

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Thomas Konstantinovsky

3Department of Engineering, Bar Ilan University, Israel

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Yonit Marcus

4The Sackler Faculty of Medicine, Tel-Aviv University, Israel

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Gabi Shefer

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Yuval Ebenstein

5Department of Chemistry, Tel Aviv University, Israel

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Metsada Pasmanik-Chor

6Bioinformatics Unit, The George S. Wise Faculty of Life Science, Tel Aviv University, Israel

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Naftali Stern

4The Sackler Faculty of Medicine, Tel-Aviv University, Israel

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For correspondence: naftalis@tlvmc.gov.il

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Posted October 05, 2022.

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Epigenetic aging waves: Artificial intelligence detects clustering of switch points in DNA methylation rate in defined sex-dependent age periods

Elad Segev, Tamar Shahal, Thomas Konstantinovsky, Yonit Marcus, Gabi Shefer, Yuval Ebenstein, Metsada Pasmanik-Chor, Naftali Stern

bioRxiv 2022.10.02.510495; doi: https://doi.org/10.1101/2022.10.02.510495

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Epigenetic aging waves: Artificial intelligence detects clustering of switch points in DNA methylation rate in defined sex-dependent age periods

Elad Segev, Tamar Shahal, Thomas Konstantinovsky, Yonit Marcus, Gabi Shefer, Yuval Ebenstein, Metsada Pasmanik-Chor, Naftali Stern

bioRxiv 2022.10.02.510495; doi: https://doi.org/10.1101/2022.10.02.510495

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