Experimental design for efficient identification of gene regulatory networks 
using sparse Bayesian models

Steinke, F; Seeger, M; Tsuda, K

doi:10.1186/1752-0509-1-51

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Experimental design for efficient identification of gene regulatory networks using sparse Bayesian models

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Steinke, F
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Seeger, M
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Tsuda, K
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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https://bmcsystbiol.biomedcentral.com/track/pdf/10.1186/1752-0509-1-51
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Steinke, F., Seeger, M., & Tsuda, K. (2007). Experimental design for efficient identification of gene regulatory networks using sparse Bayesian models. BMC Systems Biology, 1: 51, pp. 1-15. doi:10.1186/1752-0509-1-51.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-CB09-A

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