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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4551520/ https://www.ncbi.nlm.nih.gov/pubmed/26310492 http://dx.doi.org/10.1186/s12918-015-0194-7 |