A gene regulatory network depicts which genes turn on which and at what moment. Knowledge of such gene networks is key to an understanding of the biological process. We propose here to use a statistical method for the reconstruction of gene regulatory networks based on Bayesian networks from microar
β¦ LIBER β¦
Reconstructing attractors from filtered time series
β Scribed by M.E. Davies
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 694 KB
- Volume
- 101
- Category
- Article
- ISSN
- 0167-2789
No coin nor oath required. For personal study only.
β¦ Synopsis
In this paper we investigate the criteria necessary to reconstruct an attractor from a time series that has been passed through an IIR filter. To guarantee that the whole of the attractor is reconstructed requires uniform bounds on the contraction rate of the dynamics. However, we show that if we use a condition that is only based on the average contraction rates (the Lyapunov exponents) then a set of high probability can still be reconstructed. We argue that in practice this is all that is necessary.
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