Raman spectroscopy utilizing Fisher-based feature selection combined with Support Vector Machines for the characterization of breast cell lines-Reference-Cited by-同舟云学术

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Raman spectroscopy utilizing Fisher-based feature selection combined with Support Vector Machines for the characterization of breast cell lines

Published:2013-05-22 Issue:7 Volume:44 Page:939-948
ISSN:0377-0486
Container-title:Journal of Raman Spectroscopy
language:en
Short-container-title:J. Raman Spectrosc.

Author:

Fenn Michael B.¹²³,Pappu Vijay²⁴,Georgeiv Pando G.²⁴,Pardalos Panos M.¹²⁴⁵

Affiliation:

1. J. Crayton Pruitt Family Department of Biomedical Engineering; University of Florida; Gainesville FL USA

2. Center for Applied Optimization; University of Florida; Gainesville FL USA

3. Particle Engineering Research Center; University of Florida; Gainesville FL USA

4. Industrial Systems Engineering; University of Florida; Gainesville FL USA

5. McKnight Brain Institute; University of Florida; Gainesville FL USA

Funder

The 2011 University of Florida Seed Opportunity Fund

Publisher

Wiley

Subject

Spectroscopy,General Materials Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/jrs.4309/fullpdf

Reference64 articles.

1. Raman Spectroscopy for Clinical Oncology

2. In vivo Margin Assessment during Partial Mastectomy Breast Surgery Using Raman Spectroscopy

3. Discrimination between ricin and sulphur mustard toxicity in vitro using Raman spectroscopy

4. Direct Raman imaging techniques for study of the subcellular distribution of a drug

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