Inferring the functions of longevity genes with modular subnetwork biomarkers of Caenorhabditis elegans aging.

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 Biol

journal_title

Genome biology

authors

Fortney K,Kotlyar M,Jurisica I

doi

10.1186/gb-2010-11-2-r13

subject

Has Abstract

pub_date

2010-01-01 00:00:00

pages

R13

issue

2

eissn

1474-7596

issn

1474-760X

pii

gb-2010-11-2-r13

journal_volume

11

pub_type

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