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

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.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-CB09-A Version Permalink: https://hdl.handle.net/21.11116/0000-0003-BB14-4

Genre: Journal Article

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https://bmcsystbiol.biomedcentral.com/track/pdf/10.1186/1752-0509-1-51 (Publisher version) Open Access status unknown

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Creators:
Steinke, F^{1, 2}, Author
Seeger, M^{1, 2}, Author
Tsuda, K^{1, 2}, Author

Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794

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Dates: Date issued: 2007-11

Publication Status: Issued

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Identifiers: DOI: 10.1186/1752-0509-1-51
BibTex Citekey: 4810

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Title: BMC Systems Biology

Source Genre: Journal

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Pages: - Volume / Issue: 1 Sequence Number: 51 Start / End Page: 1 - 15 Identifier: ISSN: 1752-0509
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000225260