Zhang Y - Search Results

1

Extracting consistent knowledge from highly inconsistent cancer gene data sources.

Gong X, Wu R, Zhang Y, Zhao W, Cheng L, Gu Y, Zhang L, Wang J, Zhu J, Guo Z. Gong X, et al. Among authors: zhang l, zhang y. BMC Bioinformatics. 2010 Feb 5;11:76. doi: 10.1186/1471-2105-11-76. BMC Bioinformatics. 2010. PMID: 20137077 Free PMC article.

2

Evaluating the consistency of differential expression of microRNA detected in human cancers.

Gong X, Wu R, Wang H, Guo X, Wang D, Gu Y, Zhang Y, Zhao W, Cheng L, Wang C, Guo Z. Gong X, et al. Among authors: zhang y. Mol Cancer Ther. 2011 May;10(5):752-60. doi: 10.1158/1535-7163.MCT-10-0837. Epub 2011 Mar 11. Mol Cancer Ther. 2011. PMID: 21398424

3

Extensive up-regulation of gene expression in cancer: the normalised use of microarray data.

Wang D, Cheng L, Zhang Y, Wu R, Wang M, Gu Y, Zhao W, Li P, Li B, Zhang Y, Wang H, Huang Y, Wang C, Guo Z. Wang D, et al. Among authors: zhang y. Mol Biosyst. 2012 Mar;8(3):818-27. doi: 10.1039/c2mb05466c. Epub 2012 Jan 10. Mol Biosyst. 2012. PMID: 22234555

4

Evaluation of cDNA microarray data by multiple clones mapping to the same transcript.

Wang D, Wang C, Zhang L, Xiao H, Shen X, Ren L, Zhao W, Hong G, Zhang Y, Zhu J, Zhang M, Yang D, Ma W, Guo Z. Wang D, et al. Among authors: zhang l, zhang m, zhang y. OMICS. 2009 Dec;13(6):493-9. doi: 10.1089/omi.2009.0077. OMICS. 2009. PMID: 19715395

5

Systematic interpretation of comutated genes in large-scale cancer mutation profiles.

Gu Y, Yang D, Zou J, Ma W, Wu R, Zhao W, Zhang Y, Xiao H, Gong X, Zhang M, Zhu J, Guo Z. Gu Y, et al. Among authors: zhang m, zhang y. Mol Cancer Ther. 2010 Aug;9(8):2186-95. doi: 10.1158/1535-7163.MCT-10-0022. Epub 2010 Jul 27. Mol Cancer Ther. 2010. PMID: 20663929

6

Analysis of pathway mutation profiles highlights collaboration between cancer-associated superpathways.

Gu Y, Zhao W, Xia J, Zhang Y, Wu R, Wang C, Guo Z. Gu Y, et al. Among authors: zhang y. Hum Mutat. 2011 Sep;32(9):1028-35. doi: 10.1002/humu.21541. Epub 2011 Jul 12. Hum Mutat. 2011. PMID: 21618647

7

Extensive increase of microarray signals in cancers calls for novel normalization assumptions.

Wang D, Cheng L, Wang M, Wu R, Li P, Li B, Zhang Y, Gu Y, Zhao W, Wang C, Guo Z. Wang D, et al. Among authors: zhang y. Comput Biol Chem. 2011 Jun;35(3):126-30. doi: 10.1016/j.compbiolchem.2011.04.006. Epub 2011 Apr 30. Comput Biol Chem. 2011. PMID: 21704257

8

Comparison of different normalization assumptions for analyses of DNA methylation data from the cancer genome.

Wang D, Zhang Y, Huang Y, Li P, Wang M, Wu R, Cheng L, Zhang W, Zhang Y, Li B, Wang C, Guo Z. Wang D, et al. Among authors: zhang w, zhang y. Gene. 2012 Sep 10;506(1):36-42. doi: 10.1016/j.gene.2012.06.075. Epub 2012 Jul 4. Gene. 2012. PMID: 22771920

9

Network analysis of genomic alteration profiles reveals co-altered functional modules and driver genes for glioblastoma.

Gu Y, Wang H, Qin Y, Zhang Y, Zhao W, Qi L, Zhang Y, Wang C, Guo Z. Gu Y, et al. Among authors: zhang y. Mol Biosyst. 2013 Mar;9(3):467-77. doi: 10.1039/c2mb25528f. Epub 2013 Jan 23. Mol Biosyst. 2013. PMID: 23344900

10

Pitfalls in experimental designs for characterizing the transcriptional, methylational and copy number changes of oncogenes and tumor suppressor genes.

Zhang Y, Xia J, Zhang Y, Qin Y, Yang D, Qi L, Zhao W, Wang C, Guo Z. Zhang Y, et al. PLoS One. 2013;8(3):e58163. doi: 10.1371/journal.pone.0058163. Epub 2013 Mar 5. PLoS One. 2013. PMID: 23472150 Free PMC article.

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