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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2013
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3689729/ https://www.ncbi.nlm.nih.gov/pubmed/23805196 http://dx.doi.org/10.1371/journal.pone.0066031 |