Researchers from CNIC have developed and validated a general statistical framework, the WSPP model, for the analysis of quantitative proteomics results, that very accurately describes the technical variability of data for a representative set that includes the most common Stable isotope labeling (SIL) methods. In addition, the model allows a systematic comparison and integration of data from different experiments.