Machine learning-driven Raman spectroscopy: A novel approach to lipid profiling in diabetic kidney disease
Published: 22 January 2025| Version 2 | DOI: 10.17632/mpyty9j829.2
Contributors:
, , Joanna Depciuch, Piotr Sosnowski, Klaudia Szałaj, Wiesław Paja, Maryna Khalavka, Description
Raman spectra of diabetic and control samples of homogenated kidney tissues. These data were used in publication "Determination of chemical changes in lipids caused by diabetes. Correlation between Raman spectra and lipids metabolic profiling of kidney". The file contains the preprocessed spectra used for the figures Fig 1a, 1b, 1c and 2a, 2b. Machine learning was performed on the data showed in the Fig 3.
Files
Institutions
- Uniwersytet Rzeszowski
- Uniwersytet Medyczny w Lublinie
- Polska Akademia Nauk
Categories
Mass Spectrometry, Diabetes, Raman Spectroscopy, Analytical Biochemistry