Identifier mapping performance for integrating transcriptomics and proteomics experimental results-Reference-Cited by-同舟云学术

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Identifier mapping performance for integrating transcriptomics and proteomics experimental results

Published:2011-05-27 Issue:1 Volume:12 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Day Roger S,McDade Kevin K,Chandran Uma R,Lisovich Alex,Conrads Thomas P,Hood Brian L,Kolli VS Kumar,Kirchner David,Litzi Traci,Maxwell G Larry

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/1471-2105-12-213.pdf

Reference23 articles.

1. Li J, et al.: Proteomics and bioinformatics approaches for identification of serum biomarkers to detect breast cancer. Clin Chem 2002, 48(8):1296–1304.

2. Malmstrom J, et al.: Proteome-wide cellular protein concentrations of the human pathogen Leptospira interrogans. Nature 2009, 460(7256):762–765. 10.1038/nature08184

3. Lu KH, et al.: Selection of potential markers for epithelial ovarian cancer with gene expression arrays and recursive descent partition analysis. Clin Cancer Res 2004, 10(10):3291–3300. 10.1158/1078-0432.CCR-03-0409

4. Shankavaram UT, et al.: Transcript and protein expression profiles of the NCI-60 cancer cell panel: an integromic microarray study. Mol.Cancer Ther 2007, 6(3):820–832. 10.1158/1535-7163.MCT-06-0650

5. Chen QR, et al.: Global genomic and proteomic analysis identifies biological pathways related to high-risk neuroblastoma. J Proteome.Res 2010, 9(1):373–382. 10.1021/pr900701v

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