Pirkl, Martin Franz-Xaver (2016) Indirect inference of synergistic and alternative signalling of intracellular pathways. PhD, Universität Regensburg.
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Abstract (English)
In this work we introduce Boolean Nested Effects Models (B-NEM). B-NEM combines the indirect inference on signalling pathways of the original Nested Effects Models (NEM) with the logical modelling of the CellNet Optimizer. The pathway molecules are called signalling genes (S-genes). These S-genes can be perturbed, e.g. stimulated or inhibited. These perturbations effect the transcription and ...
Translation of the abstract (German)
In dieser Arbeit stellen wir Boolean Nested Effects Models (B-NEM) vor. B-NEM kombiniert die indirekte Inferenz der originalen Nested Effects Models auf Signalwege mit dem logischen Model des CellNet Optimizers. Die Moleküle im Signalweg werden Signalgene (S-gene) genannt. Diese S-gene können beeinflusst werden, z.B. durch Stimulation oder Unterdrückung. Diese Beeinflussung hat Auswirkungen auf ...
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| Item type: | Thesis of the University of Regensburg (PhD) |
|---|---|
| Date: | July 2016 |
| Referee: | Prof. Dr. Rainer Spang |
| Date of exam: | 22 July 2016 |
| Institutions: | Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang) |
| Keywords: | signalling, pathway, boolean, logical, nested, effects, models, cancer, hyper-graph, graph, network, propagation, transduction |
| Dewey Decimal Classification: | 000 Computer science, information & general works > 004 Computer science 500 Science > 510 Mathematics 500 Science > 570 Life sciences 600 Technology > 610 Medical sciences Medicine |
| Status: | Published |
| Refereed: | Yes, this version has been refereed |
| Created at the University of Regensburg: | Yes |
| Item ID: | 34157 |
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