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|Title:||Network-based modular markers of aging across different tissues||Authors:||Vrahatis, A.G.
|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|
|Appears in Collections:||Staff Publications|
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