@Book{1683331141,
author="Khan, Faiz Muhammad",
title="integrative workflow to study large-scale biochemical networks",
year="2019",
address="Rostock",
abstract="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>",
school="Universit{\"a}t Rostock",
note="vorgelegt von Faiz Khan",
note="GutachterInnen: Olaf Wolkenhauer (University of Rostock) ; Jan Hasenauer (University of Bonn) ; Georg F{\"u}llen (University of Rostock)",
note="Dissertation Universit{\"a}t Rostock 2019",
doi="10.18453/rosdok_id00002554",
url="http://purl.uni-rostock.de/rosdok/id00002554",
url="https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00002554-3",
url="https://d-nb.info/1293658057/34",
url="https://doi.org/10.18453/rosdok_id00002554",
language="English"
}