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
Cite this Article
How to cite
Teschendorff AE, . Epigenetic aging: insights from network biology. Aging (Albany NY). 2013 Oct 20;
5:719-720
.
https://doi.org/10.18632/aging.100610
Copy or Download citation:
Select the format you require from the list below
Click to copy this citation from the text box above or download the citation:
Citation |
Citation & Abstract
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.