Classifying Breast Cancer Cell Lines of Different Metastasis Potentials using Visible Resonance Raman Spectroscopy and Machine Learning

We classified breast cancer cell lines of different metastatic potentials using visible resonance Raman spectroscopy, principal component analysis, and support vector machines. Cross validated classification accuracies of over 78% were achieved.