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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...

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Detalles Bibliográficos
Autores principales: Steinke, Florian, Seeger, Matthias, Tsuda, Koji
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
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