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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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書誌詳細
主要な著者: Steinke, Florian, Seeger, Matthias, Tsuda, Koji
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2007
主題:
オンライン・アクセス: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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