TY  - BOOK
AU  - Khan, Faiz Muhammad
PY  - 2019
DA  - 2019//
TI  - integrative workflow to study large-scale biochemical networks
PB  - Universität Rostock
CY  - Rostock
AB  - 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>
UR  - http://purl.uni-rostock.de/rosdok/id00002554
UR  - https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00002554-3
UR  - https://d-nb.info/1293658057/34
UR  - https://doi.org/10.18453/rosdok_id00002554
DO  - 10.18453/rosdok_id00002554
LA  - English
N1  - vorgelegt von Faiz Khan
ID  - 1683331141
ER  -