%0 Book
%T integrative workflow to study large-scale biochemical networks
%A Khan, Faiz Muhammad
%D 2019
%C Rostock
%C Universität Rostock
%G English
%F 1683331141
%O vorgelegt von Faiz Khan
%O GutachterInnen: Olaf Wolkenhauer (University of Rostock) ; Jan Hasenauer (University of Bonn) ; Georg Füllen (University of Rostock)
%O Dissertation Universität Rostock 2019
%X 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>
%L 004
%9 theses
%9 Text
%9 Hochschulschrift
%R 10.18453/rosdok_id00002554
%U http://purl.uni-rostock.de/rosdok/id00002554
%U https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00002554-3
%U https://d-nb.info/1293658057/34
%U https://doi.org/10.18453/rosdok_id00002554