Name
Title | ||
|---|---|---|
Reverse Engineering Non-Linear Gene Regulatory Networks Based on the Bacteriophage λ cI Circuit |
Abstract | ||
|---|---|---|
The ability to measure the transcriptional response of cells has drawn much attention to the underlying transcrip- tional 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. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/CIBCB.2005.1594936 | computational intelligence in bioinformatics and computational biology |
Keywords | Field | DocType |
stochastic processes,gene regulatory network,kinetic theory,immune system,bioinformatics,animation,reverse engineering,gene expression,mathematical model | Reconstruction problem,Nonlinear system,Computer science,Reverse engineering,Transcriptional Networks,Stochastic process,Kinetic theory,Artificial intelligence,Probabilistic logic,Bioinformatics,Gene regulatory network,Machine learning | Conference |
ISBN | Citations | PageRank |
0-7803-9387-2 | 3 | 0.45 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jochen Supper | 1 | 106 | 8.69 |
| Christian Spieth | 2 | 119 | 12.87 |
| Andreas Zell | 3 | 1419 | 137.58 |