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

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Abstract

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.

© 2021 The Author(s)

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