Raman spectroscopy utilizing Fisher-based feature selection combined with Support Vector Machines for the characterization of breast cell lines
Article first published online: 22 MAY 2013
Copyright © 2013 John Wiley & Sons, Ltd.
Journal of Raman Spectroscopy
Volume 44, Issue 7, pages 939–948, July 2013
How to Cite
Fenn, M. B., Pappu, V., Georgeiv, P. G. and Pardalos, P. M. (2013), Raman spectroscopy utilizing Fisher-based feature selection combined with Support Vector Machines for the characterization of breast cell lines. J. Raman Spectrosc., 44: 939–948. doi: 10.1002/jrs.4309
- Issue published online: 8 JUL 2013
- Article first published online: 22 MAY 2013
- Manuscript Revised: 18 MAR 2013
- Manuscript Accepted: 9 JAN 2013
- Manuscript Received: 20 NOV 2012
- The 2011 University of Florida Seed Opportunity Fund. Grant Number: Project # 00095950
All Supporting Information may be found in the online version of this article.
|Fig S1.eps||PS document||280K||Spectral Overlay: Overlay of 37 spectra collected from MCF10A cell line. The standard deviation over all the spectra is also shown (blue line).|
|Fig S2.eps||PS document||54K||Spectral Preprocessing: a. The raw spectrum obtained from the Raman Spectrometer. b. The smoothed and standardized spectrum along with the raw spectrum. c. Fitted fluorescence background shown with the spectrum obtained from (b). d. The final standardized, smoothed, baseline corrected and normalized spectrum.|
|Fig S3.eps||PS document||19K||Peak Finding: The average spectrum for MCF10A cells and the selected peaks (shown marked with asterisks).|
|jrs_4309_SupplementaryMaterial.pdf||PDF document||153K||Supporting Information|
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