Data mining to reveal patterns in age-dependent gene expression
Mining collections of dozens or even hundreds of gene expression datasets to identify global trends is becoming increasingly popular, especially in cancer research. But for aging – an area where the data are noisier, and there is perhaps an even stronger need for integrative computational approaches – few studies have compared more than a handful of expression datasets at once, and none in mammals. This is the first rigorous, large-scale integration of mammalian aging microarray data.
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