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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Supper, J. Spieth, C. Zell, A. |
| Copyright Year | 2005 |
| Description | Author affiliation: Centre for Bioinformatics (ZBIT) University of Tübingen Sand 1, 72076 Tübingen, Germany, Email: supper@informatik.uni-tuebingen.de (Supper, J.) |
| Abstract | The ability to measure the transcriptional response of cells has drawn much attention to the underlying transcriptional networks. To untangle the network, numerous models with corresponding reverse engineering methods have been applied. In this work, we propose a non-linear model with adjustable degrees of complexity. The corresponding reverse engineering method uses a probabilistic scheme to reduce the reconstruction problem to subnetworks. Adequate models for gene regulatory networks must be anchored on sufficient biological knowledge. Here, the cI auto-inhibition circuit (cI circuit) is used to validate our reverse engineering method. Simulations of the cI circuit are used for the reconstruction, whereas a simplified cI circuit model assists the modeling phase. Several levels of complexity are evaluated, subsequently the reconstructed models show different properties. As a result, we reconstruct an abstract model, capturing the dynamic behavior of the cI circuit to a high degree. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 379139 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780393872 |
| DOI | 10.1109/CIBCB.2005.1594936 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-11-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Reverse engineering Biological system modeling Kinetic theory Stochastic processes Immune system Bioinformatics Circuit simulation Animation Gene expression Mathematical model |
| Content Type | Text |
| Resource Type | Article |
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