Cite
Raman spectroscopy combined with machine learning and chemometrics analyses as a tool for identification atherosclerotic carotid stenosis from serum.
MLA
Jakub Kęsik, Jan, et al. “Raman Spectroscopy Combined with Machine Learning and Chemometrics Analyses as a Tool for Identification Atherosclerotic Carotid Stenosis from Serum.” Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy, vol. 326, Sept. 2024, p. 125198. EBSCOhost, https://doi.org/10.1016/j.saa.2024.125198.
APA
Jakub Kęsik, J., Paja, W., Terlecki, P., Iłżecki, M., Klebowski, B., & Depciuch, J. (2024). Raman spectroscopy combined with machine learning and chemometrics analyses as a tool for identification atherosclerotic carotid stenosis from serum. Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy, 326, 125198. https://doi.org/10.1016/j.saa.2024.125198
Chicago
Jakub Kęsik, Jan, Wiesław Paja, Piotr Terlecki, Marek Iłżecki, Bartosz Klebowski, and Joanna Depciuch. 2024. “Raman Spectroscopy Combined with Machine Learning and Chemometrics Analyses as a Tool for Identification Atherosclerotic Carotid Stenosis from Serum.” Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy 326 (September): 125198. doi:10.1016/j.saa.2024.125198.