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Khan,  Faiz Muhammad

An  integrative workflow to study large-scale biochemical networks

Rostock : Universität , 2019

https://doi.org/10.18453/rosdok_id00002554

http://purl.uni-rostock.de/rosdok/id00002554

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.

Dissertation Open Access


Einrichtung :
Fakultät für Informatik und Elektrotechnik
Gutachter :
Wolkenhauer,  Olaf
Hasenauer,  Jan
Füllen,  Georg
Sprache(n) :
Englisch
DDC Klassifikation :
004 Informatik
URN :
urn:nbn:de:gbv:28-rosdok_id00002554-3
Persistente URL:
http://purl.uni-rostock.de/rosdok/id00002554
erstellt am:
2019-11-25
zuletzt geändert am:
2019-11-25
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