http://ouroboros.wordpress.com/2009/04/06/mining-expression-data-to-iden...
Scanned by: mycophageover 4 years ago
Mining collections of dozens or even hundreds of gene expression datasets to identify global trends is becoming increasingly popular, especially in cancer research (cancer seems to be the research area that sees the most sophisticated applications of bioinformatics). 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.