Topologically inferring pathway activity toward precise cancer classification via integrating genomic and metabolomic data: prostate cancer as a case-Reference-Cited by-同舟云学术

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Topologically inferring pathway activity toward precise cancer classification via integrating genomic and metabolomic data: prostate cancer as a case

Published:2015-08-19 Issue:1 Volume:5 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Liu Wei,Bai Xuefeng,Liu Yuejuan,Wang Wei,Han Junwei,Wang Qiuyu,Xu Yanjun,Zhang Chunlong,Zhang Shihua,Li Xuecang,Ren Zhonggui,Zhang Jian,Li Chunquan

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/srep13192.pdf

Reference55 articles.

1. Perez-Diez, A., Morgun, A. & Shulzhenko, N. Microarrays for cancer diagnosis and classification. Adv Exp Med Biol 593, 74–85 (2007).

2. Ein-Dor, L., Zuk, O. & Domany, E. Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer. Proc Natl Acad Sci USA 103, 5923–5928 (2006).

3. Koulman, A., Lane, G. A., Harrison, S. J. & Volmer, D. A. From differentiating metabolites to biomarkers. Anal Bioanal Chem 394, 663–670 (2009).

4. Ludwig, J. A. & Weinstein, J. N. Biomarkers in cancer staging, prognosis and treatment selection. Nat Rev Cancer 5, 845–856 (2005).

5. Sreekumar, A. et al. Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression. Nature 457, 910–914 (2009).

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