Abstract:
:A central goal of biogerontology is to identify robust gene-expression biomarkers of aging. Here we develop a method where the biomarkers are networks of genes selected based on age-dependent activity and a graph-theoretic property called modularity. Tested on Caenorhabditis elegans, our algorithm yields better biomarkers than previous methods - they are more conserved across studies and better predictors of age. We apply these modular biomarkers to assign novel aging-related functions to poorly characterized longevity genes.
journal_name
Genome Bioljournal_title
Genome biologyauthors
Fortney K,Kotlyar M,Jurisica Idoi
10.1186/gb-2010-11-2-r13subject
Has Abstractpub_date
2010-01-01 00:00:00pages
R13issue
2eissn
1474-7596issn
1474-760Xpii
gb-2010-11-2-r13journal_volume
11pub_type
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