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Royal Society of Chemistry, Analyst, 7(144), p. 2312-2319, 2019

DOI: 10.1039/c8an02031k

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A three-dimensional principal component analysis approach for exploratory analysis of hyperspectral data: identification of ovarian cancer samples based on Raman microspectroscopy imaging of blood plasma

Journal article published in 2019 by Camilo L. M. Morais ORCID, Pierre L. Martin-Hirsch, Francis L. Martin ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

Three-dimensional principal component analysis (3D-PCA) for exploratory analysis of hyperspectral images.