13 July 2016 Statistical strategies to reveal potential vibrational markers for in vivo analysis by confocal Raman spectroscopy
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The analysis of biological systems by spectroscopic techniques involves the evaluation of hundreds to thousands of variables. Hence, different statistical approaches are used to elucidate regions that discriminate classes of samples and to propose new vibrational markers for explaining various phenomena like disease monitoring, mechanisms of action of drugs, food, and so on. However, the technical statistics are not always widely discussed in applied sciences. In this context, this work presents a detailed discussion including the various steps necessary for proper statistical analysis. It includes univariate parametric and nonparametric tests, as well as multivariate unsupervised and supervised approaches. The main objective of this study is to promote proper understanding of the application of various statistical tools in these spectroscopic methods used for the analysis of biological samples. The discussion of these methods is performed on a set of in vivo confocal Raman spectra of human skin analysis that aims to identify skin aging markers. In the Appendix, a complete routine of data analysis is executed in a free software that can be used by the scientific community involved in these studies.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
Thiago de Oliveira Mendes, Thiago de Oliveira Mendes, Liliane P. Pereira, Liliane P. Pereira, Laurita dos Santos, Laurita dos Santos, Vamshi K. Tippavajhala, Vamshi K. Tippavajhala, Claudio Téllez Soto, Claudio Téllez Soto, Airton Abrahão Martin, Airton Abrahão Martin, } "Statistical strategies to reveal potential vibrational markers for in vivo analysis by confocal Raman spectroscopy," Journal of Biomedical Optics 21(7), 075010 (13 July 2016). https://doi.org/10.1117/1.JBO.21.7.075010 . Submission:

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