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Boolean networks using the chi-square test for inferring large-scale gene regulatory networks
BACKGROUND: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that its computation time is very high or often impractical to construct large-scale gene networks. We propose a variable sel...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2007
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1802094/ https://ncbi.nlm.nih.gov/pubmed/17270045 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-8-37 |
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