| title: |
| An integrative workflow to study large-scale biochemical networks |
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| contributing persons: |
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| contributing corporate bodies: |
| Universität Rostock[Grad-verleihende Institution] |
 |
38329-6 |
| Universität Rostock, Fakultät für Informatik und Elektrotechnik[Grad-verleihende Institution] |
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10085032-7 |
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| 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.
[English] |
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| document type: |
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| institution: |
| Faculty of Computer Science and Electrical Engineering |
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| language: |
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| subject class (DDC): |
| 004 Data processing Computer sciences |
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publication /
production: |
Rostock
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Rostock: Universität Rostock
|
|
2019
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| statement of responsibility: |
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| identifiers: |
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| access condition: |
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| license/rights statement: |
all rights reserved
This work may only be used under the terms of the German Copyright Law (Urheberrechtsgesetz). |
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| RosDok id: |
rosdok_disshab_0000002188 |
| created / modified: |
25.11.2019 / 08.08.2023
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| metadata license: |
The metadata of this document was dedicated to the public domain
(CC0 1.0 Universal Public Domain Dedication). |
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