Reverse Engineering Molecular Regulatory Networks from Microarray Data with qp-Graphs-Reference-Cited by-同舟云学术

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Reverse Engineering Molecular Regulatory Networks from Microarray Data with qp-Graphs

Published:2009-02 Issue:2 Volume:16 Page:213-227
ISSN:1066-5277
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Castelo Robert¹²,Roverato Alberto³

Affiliation:

1. Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain.

2. Research Program on Biomedical Informatics, Institut Municipal d'Investigació Mèdica, Barcelona, Spain.

3. Department of Statistical Science, Università di Bologna, Bologna, Italy.

Publisher

Mary Ann Liebert Inc

Subject

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

Link

http://www.liebertpub.com/doi/pdf/10.1089/cmb.2008.08TT

Reference25 articles.

1. How to infer gene networks from expression profiles

2. Network biology: understanding the cell's functional organization

3. NCBI GEO: mining tens of millions of expression profiles--database and tools update

4. Reverse engineering of regulatory networks in human B cells

5. Discovering functional relationships between RNA expression and chemotherapeutic susceptibility using relevance networks

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