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Integrating external biological knowledge in the construction of regulatory networks from time-series expression data
BACKGROUND: Inference about regulatory networks from high-throughput genomics data is of great interest in systems biology. We present a Bayesian approach to infer gene regulatory networks from time series expression data by integrating various types of biological knowledge. RESULTS: We formulate ne...
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| Main Authors: | , , , , , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
BioMed Central
2012
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3465231/ https://ncbi.nlm.nih.gov/pubmed/22898396 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1752-0509-6-101 |
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