PPISURV: a novel bioinformatics tool for uncovering the hidden role of specific genes in cancer survival outcome-Reference-Cited by-同舟云学术

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PPISURV: a novel bioinformatics tool for uncovering the hidden role of specific genes in cancer survival outcome

Published:2013-05-20 Issue:13 Volume:33 Page:1621-1628
ISSN:0950-9232
Container-title:Oncogene
language:en
Short-container-title:Oncogene

Author:

Antonov A V,Krestyaninova M,Knight R A,Rodchenkov I,Melino G,Barlev N A

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Genetics,Molecular Biology

Link

http://www.nature.com/articles/onc2013119.pdf

Reference29 articles.

1. Barrett T, Troup DB, Wilhite SE, Ledoux P, Rudnev D, Evangelista C et al. NCBI GEO: archive for high-throughput functional genomic data. Nucleic Acids Res 2009; 37: D885–D890.

2. Miller LD, Smeds J, George J, Vega VB, Vergara L, Ploner A et al. An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival. Proc Natl Acad Sci USA 2005; 102: 13550–13555.

3. Gyorffy B, Lanczky A, Eklund AC, Denkert C, Budczies J, Li Q et al. An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients. Breast Cancer Res Treat 2010; 123: 725–731.

4. Gyorffy B, Lanczky A, Szallasi Z . Implementing an online tool for genome-wide validation of survival-associated biomarkers in ovarian-cancer using microarray data from 1287 patients. Endocr Relat Cancer 2012; 19: 197–208.

5. Antonov AV, Knight RA, Melino G, Barlev NA, Tsvetkov PO . MIRUMIR: an online tool to test microRNAs as biomarkers to predict survival in cancer using multiple clinical data sets. Cell Death Differ 2013; 20: 367.

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