Affiliations: Zhicheng College, Fuzhou University, Fuzhou, China | Key Laboratory of Instrumentation Science and Dynamic Measurement Ministry of Education, North University of China, Taiyuan, China | College of Physics and OptoElectronics Technology, Fujian Normal University, Fuzhou, China | Fujian Provincial Tumor Hospital, Fuzhou, China
Note: [] Yang Chen and Lei Sun are co-first authors; they contributed equally to the work.
Note: [] Corresponding author: Lin Ou, College of Physics and OptoElectronics Technology, Fujian Normal University, Building 7, Room 401, Wansheng Community (East), Shangsan Road, Cangshan District, Fuzhou, China. Tel.: +86 134 05946513; Fax: +86 591 83786659; E-mail: oulin@fjnu.edu.cn.
Abstract: Raman spectroscopy (RS) has been used in the discrimination of normal and tumor cells for years. It is very important to validate an existing classification model using different algorithms. In this work, two algorithms of support vector classification (SVC) are utilized to validate our previous work about a LDA classification model of nasopharyngeal carcinoma (NPC) cell lines C666-1, CNE2 and nasopharyngeal normal cell line NP69. All of these two SVC algorithms use the same data set as the previous LDA model and, achieve great sensitivity and specificity. The final results show that our previous LDA classification model could be supported by different SVC algorithms and this demonstrates our classification model is reliable and may be helpful to the realization of RS to be one of diagnostic techniques of NPC.
Keywords: Linear discriminant analysis, nasopharyngeal carcinoma, Raman spectroscopy, support vector classification
DOI: 10.3233/SPE-2011-0548
Journal: Spectroscopy, vol. 26, no. 4-5, pp. 231-236, 2011
