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Comparative analysis of epigenetic aging clocks from CpG characteristics to functional associations

Zuyun Liu, Diana Leung, Morgan Levine
doi: https://doi.org/10.1101/512483
Zuyun Liu
1Department of Pathology, Yale School of Medicine, New Haven, CT, USA
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Diana Leung
1Department of Pathology, Yale School of Medicine, New Haven, CT, USA
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Morgan Levine
1Department of Pathology, Yale School of Medicine, New Haven, CT, USA
2Department of Epidemiology, Yale School of Public Health, New Haven, CT, USA
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Article Information

doi 
https://doi.org/10.1101/512483
History 
  • January 4, 2019.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.

Author Information

  1. Zuyun Liu1,
  2. Diana Leung1 and
  3. Morgan Levine1,2
  1. 1Department of Pathology, Yale School of Medicine, New Haven, CT, USA
  2. 2Department of Epidemiology, Yale School of Public Health, New Haven, CT, USA
  1. Correspondence:
    Morgan Levine, Ph.D., Department of Pathology, 300 George Street, Yale School of Medicine, New Haven, CT 06511, USA. Telephone: (203)785-4562 Email: morgan.levine{at}yale.edu
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Posted January 04, 2019.
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Comparative analysis of epigenetic aging clocks from CpG characteristics to functional associations
Zuyun Liu, Diana Leung, Morgan Levine
bioRxiv 512483; doi: https://doi.org/10.1101/512483
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Comparative analysis of epigenetic aging clocks from CpG characteristics to functional associations
Zuyun Liu, Diana Leung, Morgan Levine
bioRxiv 512483; doi: https://doi.org/10.1101/512483

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