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Functional association networks as priors for gene regulatory network inference
Motivation: Gene regulatory network (GRN) inference reveals the influences genes have on one another in cellular regulatory systems. If the experimental data are inadequate for reliable inference of the network, informative priors have been shown to improve the accuracy of inferences. Results: This...
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| Главные авторы: | , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Oxford University Press
2014
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4058914/ https://ncbi.nlm.nih.gov/pubmed/24931976 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btu285 |
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