An Evaluation of Methods for Inferring Boolean Networks from Time-Series Data.
Regulatory networks play a central role in cellular behavior and decision making. Learning these regulatory networks is a major task in biology, and devising computational methods and mathematical models for this task is a major endeavor in bioinformatics. Boolean networks have been used extensively...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science (PLoS)
2013-01-01
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| Schriftenreihe: | PLoS ONE |
| Online-Zugang: | http://europepmc.org/articles/PMC3689729?pdf=render |
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