Linear Support Vector Machine Model of an IR Spectral Library: Application to Skin Cancer.

ABSTRACT: The primary result of this work is the derivation and measurement of the average "Decision Contribution Spectrum" using a mouse tumor sample data set and the linear support vector machine (SVM) method from a perspective of spectroscopy. The "Decision Contribution Spectrum" gives the average contribution to the decision (tumor/nontumor in this case) at each step along the spectrum. A library of more than four thousand infrared (IR) spectra was obtained with a Fourier Transform Infrared (FTIR) microscope imaging system on a frozen section of an SKH1 mouse tumor - an accepted murine model for studying squamous cell carcinoma in that it very closely recapitulates the human disease. A linear SVM model was trained and tested avoiding overtraining and offering simple feature selection. It was use

SUBMITTER: Bradley RC 

PROVIDER: S-EPMC12756789 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature