Generating Realistic In Silico Gene Networks for Performance Assessment of Reverse Engineering Methods-Reference-Cited by-同舟云学术

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Generating Realistic In Silico Gene Networks for Performance Assessment of Reverse Engineering Methods

Published:2009-02 Issue:2 Volume:16 Page:229-239
ISSN:1066-5277
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Marbach Daniel¹,Schaffter Thomas¹,Mattiussi Claudio¹,Floreano Dario¹

Affiliation:

1. Ecole Polytechnique Fédérale de Lausanne (EPFL), Laboratory of Intelligent Systems, Lausanne, Switzerland.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modelling and Simulation

Link

http://www.liebertpub.com/doi/pdf/10.1089/cmb.2008.09TT

Reference33 articles.

1. Network motifs: theory and experimental approaches

2. Computational analysis of the synergy among multiple interacting genes

3. Comprehensive Analysis of Combinatorial Regulation using the Transcriptional Regulatory Network of Yeast

4. Reverse engineering of regulatory networks in human B cells

5. GO::TermFinder--open source software for accessing Gene Ontology information and finding significantly enriched Gene Ontology terms associated with a list of genes

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