Pathway network inference from gene expression data-Reference-Cited by-同舟云学术

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Pathway network inference from gene expression data

Published:2014-03 Issue:S2 Volume:8 Page:
ISSN:1752-0509
Container-title:BMC Systems Biology
language:en
Short-container-title:BMC Syst Biol

Author:

Ponzoni Ignacio,Nueda María José,Tarazona Sonia,Götz Stefan,Montaner David,Dussaut Julieta Sol,Dopazo Joaquín,Conesa Ana

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Modelling and Simulation,Structural Biology

Link

https://link.springer.com/content/pdf/10.1186/1752-0509-8-S2-S7.pdf

Reference74 articles.

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2. Dopazo J: Functional interpretation of microarray experiments. OMICS. 2006, 10: 398-410. 10.1089/omi.2006.10.398.

3. Al-Shahrour F, Minguez P, Tárraga J, Medina I, Alloza E, Montaner D, Dopazo J: FatiGO +: a functional profiling tool for genomic data. Integration of functional annotation, regulatory motifs and interaction data with microarray experiments. Nucleic Acids Res. 2007, 35: W91-6. 10.1093/nar/gkm260.

4. Mootha VK, Lindgren CM, Eriksson KF, Subramanian A, Sihag S, Lehar J, Puigserver P, Carlsson E, Ridderstrale M, Laurila E, et al: PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes. Nat Genet. 2003, 34: 267-273. 10.1038/ng1180.

5. Shojaie A, Michailidis G: Analysis of gene sets based on the underlying regulatory network. J Comput Biol. 2009, 16: 407-26. 10.1089/cmb.2008.0081.

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