10.18453/rosdok_id00002554
Khan, Faiz Muhammad
Faiz Muhammad
Khan
http://d-nb.info/gnd/1200360885
null integrative workflow to study large-scale biochemical networks
Universität Rostock
2019
004 Data processing Computer sciences
2019
en
http://purl.uni-rostock.de/rosdok/id00002554
urn:nbn:de:gbv:28-rosdok_id00002554-3
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.