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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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Bibliografische gegevens
Hoofdauteurs: Steinke, Florian, Seeger, Matthias, Tsuda, Koji
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: BioMed Central 2007
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC2233642/
https://ncbi.nlm.nih.gov/pubmed/18021391
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1752-0509-1-51
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