Editorial Volume 5, Issue 10 pp 719—720

Epigenetic aging: insights from network biology

Andrew E. Teschendorff1, ,

  • 1 Statistical Cancer Genomics, UCL Cancer Institute; Centre for Mathematics and Physics in the Life Sciences and Experimental Biology, University College London, London WC1E 6BT, UK; CAS-Max Planck Partner Institute for Computational Biology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China

Received: August 23, 2013       Published: October 20, 2013      

https://doi.org/10.18632/aging.100610
How to Cite

Copyright: © 2013 Teschendorff et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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