Checking Consistency Between Expression Data and Large Scale Regulatory Networks: A Case Study

We showed in previous papers how to define and to check consistency between experimental mea-surements and a graphical regulatory model. The purpose of the present work is to validate this methodology on a real-size setting. More precisely, we show 1. that the algorithms we proposed are able to handle models with thousands of genes and reactions, 2. that our methodology is an effective strategy to extract biologically relevant information from gene expression data.