Bio-array image processing and genetic networks modelling

The new tools available for gene expression studies are essentially the bio-array methods using a large variety of physical detectors (isotopes, fluorescent markers, ultrasounds). Here we present an image processing method independent of the detector type, dealing with the noise and with the peaks overlapping, the peaks revealing the detector activity (isotopic in the presented example), correlated with the gene expression. After this first step of image processing, we can extract information about causal influence (activation or inhibition) a gene can exert on other genes, leading to clusters of co-expression in which we extract an interaction matrix explaining the dynamics of co-expression correlated to the studied tissue function.