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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Detalles Bibliográficos
Autores principales: Yin, Weiwei, Garimalla, Swetha, Moreno, Alberto, Galinski, Mary R., Styczynski, Mark P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Methodology Article
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

Internet

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

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