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Discretization of Time Series Data
An increasing number of algorithms for biochemical network inference from experimental data require discrete data as input. For example, dynamic Bayesian network methods and methods that use the framework of finite dynamical systems, such as Boolean networks, all take discrete input. Experimental da...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Mary Ann Liebert, Inc.
2010
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3203514/ https://ncbi.nlm.nih.gov/pubmed/20583929 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1089/cmb.2008.0023 |
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