Epigenetic aging: insights from network biology

Andrew E. Teschendorff

¹Statistical 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, 2013Accepted: October 17, 2013Published: October 20, 2013

https://doi.org/http://dx.doi.org/10.18632/aging.100610

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.