Methodological developments

Analysis tools for microarray data are developed to enable a more thorough utilization of the results than possible with current methods. We have designed optimal protocols for microarray experiments and developed method that provide absolute transcript concentrations and gene copy numbers. The latter methods are useful for addressing gene dosage aspects and exploring gene regulation mechanisms. Ongoing projects include identification of trancription factor – target interactions of importance for patient survival and combining gene expressions and copy numbers for predictive purposes. Most projects are performed in collaboration with statisticians at Statistics for Innovation, headed by Arnoldo Frigessi.