https://www.selleckchem.com/pr....oducts/d-lin-mc3-dma
age spectra of the two groups were plotted and analyzed; the attributions, similarities and differences of the main characteristic peaks from these two groups of serum Raman spectra were described. The SVM algorithm was combined with the normalized Raman spectroscopy data to identify the two groups of patient sera with 90% identification accuracy. This study shows that serum Raman spectroscopy combined with an SVM algorithm can be used for multiclass identification of hepatitis C. V.PURPOSE The aim of the present study was to esta
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