Specificity of metabolic colorectal cancer biomarkers in serum through effect size
Author:
Funder
Université de Liège
Publisher
Springer Science and Business Media LLC
Subject
Clinical Biochemistry,Biochemistry,Endocrinology, Diabetes and Metabolism
Link
https://link.springer.com/content/pdf/10.1007/s11306-020-01707-w.pdf
Reference62 articles.
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2. Bertini, I., Cacciatore, S., Jensen, B. V., Schou, J. V., Johansen, J. S., Kruhøffer, M., et al. (2012). Metabolomic NMR fingerprinting to identify and predict survival of patients with metastatic colorectal cancer. Cancer Research, 72(1), 356LP–364LP. https://doi.org/10.1158/0008-5472.CAN-11-1543.
3. Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., & Jemal, A. (2018). Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA A Cancer Journal for Clinicians, 68(6), 394–424. https://doi.org/10.3322/caac.21492.
4. Brenner, H., Kloor, M., & Pox, C. P. (2014). Colorectal cancer. The Lancet, 383(9927), 1490–1502. https://doi.org/10.1016/S0140-6736(13)61649-9.
5. Broadhurst, D. I., & Kell, D. B. (2006). Statistical strategies for avoiding false discoveries in metabolomics and related experiments. Metabolomics, 2(4), 171–196. https://doi.org/10.1007/s11306-006-0037-z.
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