Gruissem W - Search Results

1

Integrative genome-wide expression profiling identifies three distinct molecular subgroups of renal cell carcinoma with different patient outcome.

Beleut M, Zimmermann P, Baudis M, Bruni N, Bühlmann P, Laule O, Luu VD, Gruissem W, Schraml P, Moch H. Beleut M, et al. Among authors: gruissem w. BMC Cancer. 2012 Jul 23;12:310. doi: 10.1186/1471-2407-12-310. BMC Cancer. 2012. PMID: 22824167 Free PMC article.

2

RefGenes: identification of reliable and condition specific reference genes for RT-qPCR data normalization.

Hruz T, Wyss M, Docquier M, Pfaffl MW, Masanetz S, Borghi L, Verbrugghe P, Kalaydjieva L, Bleuler S, Laule O, Descombes P, Gruissem W, Zimmermann P. Hruz T, et al. Among authors: gruissem w. BMC Genomics. 2011 Mar 21;12:156. doi: 10.1186/1471-2164-12-156. BMC Genomics. 2011. PMID: 21418615 Free PMC article.

3

Global regulatory architecture of human, mouse and rat tissue transcriptomes.

Prasad A, Kumar SS, Dessimoz C, Bleuler S, Laule O, Hruz T, Gruissem W, Zimmermann P. Prasad A, et al. Among authors: gruissem w. BMC Genomics. 2013 Oct 20;14:716. doi: 10.1186/1471-2164-14-716. BMC Genomics. 2013. PMID: 24138449 Free PMC article.

4

A systematic comparison and evaluation of biclustering methods for gene expression data.

Prelić A, Bleuler S, Zimmermann P, Wille A, Bühlmann P, Gruissem W, Hennig L, Thiele L, Zitzler E. Prelić A, et al. Among authors: gruissem w. Bioinformatics. 2006 May 1;22(9):1122-9. doi: 10.1093/bioinformatics/btl060. Epub 2006 Feb 24. Bioinformatics. 2006. PMID: 16500941

5

Web-based analysis of the mouse transcriptome using Genevestigator.

Laule O, Hirsch-Hoffmann M, Hruz T, Gruissem W, Zimmermann P. Laule O, et al. Among authors: gruissem w. BMC Bioinformatics. 2006 Jun 21;7:311. doi: 10.1186/1471-2105-7-311. BMC Bioinformatics. 2006. PMID: 16790046 Free PMC article.

6

Gene-expression analysis and network discovery using Genevestigator.

Zimmermann P, Hennig L, Gruissem W. Zimmermann P, et al. Among authors: gruissem w. Trends Plant Sci. 2005 Sep;10(9):407-9. doi: 10.1016/j.tplants.2005.07.003. Trends Plant Sci. 2005. PMID: 16081312

7

EVE (external variance estimation) increases statistical power for detecting differentially expressed genes.

Wille A, Gruissem W, Bühlmann P, Hennig L. Wille A, et al. Among authors: gruissem w. Plant J. 2007 Nov;52(3):561-9. doi: 10.1111/j.1365-313X.2007.03227.x. Epub 2007 Aug 3. Plant J. 2007. PMID: 17680783 Free article.

8

Genevestigator transcriptome meta-analysis and biomarker search using rice and barley gene expression databases.

Zimmermann P, Laule O, Schmitz J, Hruz T, Bleuler S, Gruissem W. Zimmermann P, et al. Among authors: gruissem w. Mol Plant. 2008 Sep;1(5):851-7. doi: 10.1093/mp/ssn048. Mol Plant. 2008. PMID: 19825587 Free article.

9

Genevestigator v3: a reference expression database for the meta-analysis of transcriptomes.

Hruz T, Laule O, Szabo G, Wessendorp F, Bleuler S, Oertle L, Widmayer P, Gruissem W, Zimmermann P. Hruz T, et al. Among authors: gruissem w. Adv Bioinformatics. 2008;2008:420747. doi: 10.1155/2008/420747. Epub 2008 Jul 8. Adv Bioinformatics. 2008. PMID: 19956698 Free PMC article.

10

Gene expression analysis, proteomics, and network discovery.

Baginsky S, Hennig L, Zimmermann P, Gruissem W. Baginsky S, et al. Among authors: gruissem w. Plant Physiol. 2010 Feb;152(2):402-10. doi: 10.1104/pp.109.150433. Epub 2009 Dec 11. Plant Physiol. 2010. PMID: 20018595 Free PMC article. Review. No abstract available.

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