Inside complex disorder pathways through gene expression analysis

The complex disorders result from collective actions of many genetic and not-genetic factors and their molecular bases remain largely unknown. The analysis of the variation in gene expression could be an important instrument to dissect these complex phenotypes and improve the comprehension of the pathogenetic mechanisms. To this aim we present here CorrelaGenes, a new bioinformatics tool that exploits the expression data publicly available in the GEO database to identify co-expression patterns that could help to untangle the web of pathways leading to complex diseases.