An integrative workflow to study large-scale biochemical networks Khan, Faiz Muhammad , 1985- (VerfasserIn) Wolkenhauer, Olaf , 1966- (AkademischeR BetreuerIn) Hasenauer, Jan (AkademischeR BetreuerIn) Füllen, Georg , 1967- (AkademischeR BetreuerIn) Universität Rostock (Grad-verleihende Institution) Universität Rostock Fakultät für Informatik und Elektrotechnik (Grad-verleihende Institution) Text theses Text Hochschulschrift 2019 2019 eng electronic resourceremoteComputermedienOnline-Ressource1 Online-Ressource I propose an integrative workflow to study large-scale biochemical networks by combining omics data, network structure and dynamical analysis to unravel disease mechanisms. Using the workflow, I identified core regulatory networks from the E2F1 network underlying EMT in bladder and breast cancer and detected disease signatures and drug targets, which were experimentally validated. Further, I developed a hybrid modeling framework that combines ODE- with logical-models to analyze the dynamics of large-scale non-linear systems. This thesis is a contribution to interdisciplinary cancer research.<eng> vorgelegt von Faiz Khan GutachterInnen: Olaf Wolkenhauer (University of Rostock) ; Jan Hasenauer (University of Bonn) ; Georg Füllen (University of Rostock) Dissertation Universität Rostock 2019 004 616.994 610 WC 7700 42.11 http://purl.uni-rostock.de/rosdok/id00002554 https://doi.org/10.18453/rosdok_id00002554 https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00002554-3 https://d-nb.info/1293658057/34 An integrative workflow to study large-scale biochemical networks--(DE-627)1683803418 urn:nbn:de:gbv:28-rosdok_id00002554-3 doi: 10.18453/rosdok_id00002554 oclc: 1136957998 ppn: (DE-627)1683331141