Altered metabolite levels and correlations in patients with colorectal cancer and polyps detected using seemingly unrelated regression analysis-Reference-Cited by-同舟云学术

Altered metabolite levels and correlations in patients with colorectal cancer and polyps detected using seemingly unrelated regression analysis

Published:2017-09-15 Issue:11 Volume:13 Page:
ISSN:1573-3882
Container-title:Metabolomics
language:en
Short-container-title:Metabolomics

Author:

Chen Chen,Nagana Gowda G. A.,Zhu Jiangjiang,Deng Lingli,Gu Haiwei,Chiorean E. Gabriela,Abu Zaid Mohammad,Harrison Marietta,Zhang Dabao,Zhang Min^ORCID,Raftery Daniel^ORCID

Funder

National Cancer Institute

Publisher

Springer Science and Business Media LLC

Subject

Clinical Biochemistry,Biochemistry,Endocrinology, Diabetes and Metabolism

Link

http://link.springer.com/article/10.1007/s11306-017-1265-0/fulltext.html

Reference31 articles.

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3. Cancer Facts & Figs. 2013. American Cancer Society: Atlanta, GA, 2013. https://www.cancer.org/research/cancer-facts-statistics/all-cancer-facts-figures/cancer-facts-figures-2013.html . Accessed on June 14, 2017.

4. Carroll, R. J., Midthune, D., Freedman, L. S., & Kipnis, V. (2006). Seemingly unrelated measurement error models, with application to nutritional epidemiology. Biometrics, 62(1), 75–84.

5. Chan, E. C. Y., Koh, P. K., Mal, M., Cheah, P. Y., Eu, K. W., Backshall, A., Cavill, R., Nicholson, J. K., & Keun, H. C. (2008). Metabolic profiling of human colorectal cancer using high-resolution magic angle spinning nuclear magnetic resonance (HR-MAS NMR) spectroscopy and gas chromatography mass spectrometry (GC/MS). Journal of Proteome Research, 8(1), 352–361.

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