Chemometrics models for overcoming high between subject variability: applications in clinical metabolic profiling studies

MLA

Ardeshir Bayat, et al. “Chemometrics Models for Overcoming High between Subject Variability: Applications in Clinical Metabolic Profiling Studies.” Metabolomics, vol. 10, Dec. 2013, pp. 375–85. EBSCOhost, https://doi.org/10.1007/s11306-013-0616-8.

APA

Ardeshir Bayat, Yun Xu, Royston Goodacre, & Stephen J. Fowler. (2013). Chemometrics models for overcoming high between subject variability: applications in clinical metabolic profiling studies. Metabolomics, 10, 375–385. https://doi.org/10.1007/s11306-013-0616-8

Chicago

Ardeshir Bayat, Yun Xu, Royston Goodacre, and Stephen J. Fowler. 2013. “Chemometrics Models for Overcoming High between Subject Variability: Applications in Clinical Metabolic Profiling Studies.” Metabolomics 10 (December): 375–85. doi:10.1007/s11306-013-0616-8.