Benchmarking a Simple Yet Effective Approach for Inferring Gene Regulatory 
Networks from Systems Genetic Data

Heise, Sandra; Flassig, Robert; Klamt, Steffen

doi:10.1007/978-3-642-45161-4_3

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Benchmarking a Simple Yet Effective Approach for Inferring Gene Regulatory Networks from Systems Genetic Data

Heise, S., Flassig, R., & Klamt, S. (2013). Benchmarking a Simple Yet Effective Approach for Inferring Gene Regulatory Networks from Systems Genetic Data. In Gene Network Inference: Verification of Methods for Systems Genetic Data. (pp. 33-47). Heidelberg: Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0018-AA6E-8 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0018-AA77-0

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Creators:
Heise, Sandra¹, Author
Flassig, Robert², Author
Klamt, Steffen¹, Author

Affiliations:
1Analysis and Redesign of Biological Networks, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738139
2Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151

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Dates: Date issued: 2013

Publication Status: Issued

Pages: 130

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Identifiers: DOI: 10.1007/978-3-642-45161-4_3

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Title: Gene Network Inference: Verification of Methods for Systems Genetic Data.

Source Genre: Book

Creator(s):
de la Fuente, Alberto¹, Author

Affiliations:
1 Leibniz Institut, ou_persistent22

Publ. Info: Heidelberg : Springer

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 33 - 47 Identifier: ISBN: 978-3-642-45160-7