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Experimental design for efficient identification of gene regulatory networks using sparse Bayesian models
BACKGROUND: Identifying large gene regulatory networks is an important task, while the acquisition of data through perturbation experiments (e.g., gene switches, RNAi, heterozygotes) is expensive. It is thus desirable to use an identification method that effectively incorporates available prior know...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2233642/ https://www.ncbi.nlm.nih.gov/pubmed/18021391 http://dx.doi.org/10.1186/1752-0509-1-51 |