The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Multivariate Analysis in Metabolomics
Open accessAbstract
Metabolomics aims to provide a global snapshot of all small-molecule metabolites in cells and biological fluids, free of observational biases inherent to more focused studies of metabolism. However, the staggeringly high information content of such global analyses introduces a challenge of its own; efficiently forming biologically relevant conclusions from any given metabolomics dataset indeed requires specialized forms of data analysis. One approach to finding meaning in metabolomics datasets involves multivariate analysis (MVA) methods such as principal component analysis (PCA) and partial least squares projection to latent structures (PLS), where spectral features contributing most to variation or separation are identified for further analysis. However, as with any mathematical treatment, these methods are not a panacea; this review discusses the use of multivariate analysis for metabolomics, as well as common pitfalls and misconceptions.
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Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
PLS-regression: a basic tool of chemometrics
Wold, S., Sjöström, M., & Eriksson, L. (2001) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/s0169-7439(01)00155-1 · Cited by 10,084
Golbraikh, A., & Tropsha, A. (2002) · Journal of Molecular Graphics and Modelling · doi:10.1016/s1093-3263(01)00123-1 · Cited by 3,735
van den Berg, R. A., Hoefsloot, H. C., Westerhuis, J. A., Smilde, A. K., & van der Werf, M. J. (2006) · BMC Genomics · doi:10.1186/1471-2164-7-142 · Cited by 2,450
Gut microorganisms, mammalian metabolism and personalized health care
Nicholson, J. K., Holmes, E., & Wilson, I. D. (2005) · Nature Reviews Microbiology · doi:10.1038/nrmicro1152 · Cited by 945
Metabolomics and systems biology: making sense of the soup
KELL, D. (2004) · Current Opinion in Microbiology · doi:10.1016/j.mib.2004.04.012 · Cited by 529
Cited by
Gut Microbiota Profiling: Metabolomics Based Approach to Unravel Compounds Affecting Human Health
Vernocchi, P., Del Chierico, F., & Putignani, L. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.01144 · Cited by 426
Ruiz-Perez, D., Guan, H., Madhivanan, P., Mathee, K., & Narasimhan, G. (2020) · BMC Bioinformatics · doi:10.1186/s12859-019-3310-7 · Cited by 426
Dan, Z., Mao, X., Liu, Q., Guo, M., Zhuang, Y., Liu, Z., Chen, K., Chen, J., Xu, R., Tang, J., et al. (2020) · Gut Microbes · doi:10.1080/19490976.2020.1747329 · Cited by 350
Human exposure to polycyclic aromatic hydrocarbons: Metabolomics perspective
Gao, P., da Silva, E., Hou, L., Denslow, N. D., Xiang, P., & Ma, L. Q. (2018) · Environment International · doi:10.1016/j.envint.2018.07.017 · Cited by 258
Metabolomic analysis in inflammatory bowel disease: A systematic review
Gallagher, K., Catesson, A., Griffin, J. L., Holmes, E., & Williams, H. R. T. (2021) · Journal of Crohn's and Colitis · doi:10.1093/ecco-jcc/jjaa227 · Cited by 133
Metadata
- Authors
- Worley, B., & Powers, R.
- Venue
- Current Metabolomics
- Publisher
- Bentham Science Publishers Ltd.
- Published
- 2012-11-01
- Volume
- 1
- Issue
- 1
- Pages
- 92-107
- ISSN
- 2213-235X (ISSN-L)
- OpenAlex
- W2132066552
- Cited by
- 1,348
- References
- 6
- FWCI
- 4.88
- Type
- journal article
- Language
- en
- Open access
- green
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