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A tree-like Bayesian structure learning algorithm for small-sample datasets from complex biological model systems
BACKGROUND: There are increasing efforts to bring high-throughput systems biology techniques to bear on complex animal model systems, often with a goal of learning about underlying regulatory network structures (e.g., gene regulatory networks). However, complex animal model systems typically have si...
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| Publicado no: | BMC Syst Biol |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4551520/ https://ncbi.nlm.nih.gov/pubmed/26310492 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12918-015-0194-7 |
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