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Validating module network learning algorithms using simulated data
BACKGROUND: In recent years, several authors have used probabilistic graphical models to learn expression modules and their regulatory programs from gene expression data. Despite the demonstrated success of such algorithms in uncovering biologically relevant regulatory relations, further development...
Autores principales: | , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1892074/ https://www.ncbi.nlm.nih.gov/pubmed/17493254 http://dx.doi.org/10.1186/1471-2105-8-S2-S5 |