Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-319-00846-2_456
Title: Network-based modular markers of aging across different tissues
Authors: Vrahatis, A.G.
Dimitrakopoulou, K.
Dimitrakopoulos, G.N.
Sgarbas, K.N.
Tsakalidis, A.K.
Bezerianos, A. 
Keywords: Aging
Microarray
Module
Protein interaction
Issue Date: 2014
Citation: Vrahatis, A.G.,Dimitrakopoulou, K.,Dimitrakopoulos, G.N.,Sgarbas, K.N.,Tsakalidis, A.K.,Bezerianos, A. (2014). Network-based modular markers of aging across different tissues. IFMBE Proceedings 41 : 1849-1852. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-319-00846-2_456
Abstract: Aging is a highly complex biological process and a risk factor for many diseases. Motivated by the high availability of diverse high-throughput data in the mouse model organism, we provide a systemic view of the age-related mechanisms. In particular, we present a robust network-based integrative approach that provides, based on protein interaction and microarray data, reliable modules that alter significantly in terms of expression during aging. Our modular meta-analysis provides novel information about the involvement of several established as well as recently reported longevity-associated pathways across different tissues. © Springer International Publishing Switzerland 2014.
Source Title: IFMBE Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/128720
ISBN: 9783319008455
ISSN: 16800737
DOI: 10.1007/978-3-319-00846-2_456
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