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. 2015 Feb 6;2(3):271–277. doi: 10.1002/acn3.174

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© 2015 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals, Inc on behalf of American Neurological Association.

This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Principal component analysis (PCA) based on 42 gene-transcripts of the diagnostic classifier. This difference between MS and NonMS patients from training set is presented. Each dot represents patient sample principal components derived from expression of 42 diagnostic classifier gene-transcripts. The distance between any pair of points is related to the similarity between the two observations in high-dimensional (3D) space. Blue dots represent NonMS patients, Red dots represent MS patients.