Dortmund, 17. Juli 2008 EINLADUNG Im Rahmen des Kolloquiums des Fachbereichs Informatik wird Dr. Tim Beissbarth DKFZ Heidelberg einen Vortrag halten mit dem Titel Nested Effects Models for Learning Signaling Networks from Perturbation Data ORT: ZEIT: OH14/E04 Montag, 11. August 2008, 14:00 Uhr ZUSAMMENFASSUNG: Targeted gene perturbations have become a major tool to gain insight into complex cellular processes. In combination with the measurement of downstream effects via DNA microarrays this approach can be used to gain insight into signaling pathways. Nested Effects Models (NEMs) were first introduced by Markowetz et al. as a probabilistic method to reverse engineer signaling cascades based on the nested structure of downstream perturbation effects. The basic framework was substantially extended later on by Froehlich et al., Markowetz et al., and Tresch and Markowetz. In this seminar an overview over methodology is given and a comparison of algorithms on a qualitative and quantitative level is presented. The results are demonstrated on estimating the signaling network between 13 genes in the ER-pathway of human MCF-7 breast cancer cells. ZU DIESEN VORTRÄGEN LADEN HERZLICH EIN DIE DOZENTEN DES FACHBEREICHES INFORMATIK