Raman Spectral Analysis of Nasopharyngeal Carcinoma and Nasopharyngeal Normal Cell Lines Based on Support Vector Machines
SUN Lei1, CHEN Yang1*, HUANG Yang-wen2, OU Lin3, SU Ying4, FENG Shang-yuan3, LEI Jin-ping3
1. Zhicheng College, Fuzhou University, Fuzhou 350002, China 2. Key Laboratory of Instrumentation Science & Dynamic Measurement(North University of China), Ministry of Education, North University of China, Taiyuan 030051, China 3. Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, Fujian Normal University, Fuzhou 350007, China 4. Laboratory of Radiobiology, Fujian Provincial Tumor Hospital, Fuzhou 350014, China
Abstract：In the present work, two algorithms of support vector classification (SVC) were utilized to analyze and classify Raman spectra of nasopharyngeal cell lines C666-1, CNE2 and nasopharyngeal normal cell line NP69, and achieved great sensitivity and specificity which are all up to 90%. This is coincident with our previous LDA classification model. The final results show that both of these two SVC algorithms can well classify the cell lines, and meanwhile may be helpful to the realization of Raman spectroscopy to be one of diagnostic techniques of nasopharyngeal carcinoma.
孙 磊1，陈 阳1*，黄洋文2，欧 琳3，苏 颖4，冯尚源3，雷晋萍3 . 支持向量机算法对鼻咽癌与正常鼻咽细胞株拉曼光谱分析 [J]. 光谱学与光谱分析, 2013, 33(06): 1566-1569.
SUN Lei1, CHEN Yang1*, HUANG Yang-wen2, OU Lin3, SU Ying4, FENG Shang-yuan3, LEI Jin-ping3 . Raman Spectral Analysis of Nasopharyngeal Carcinoma and Nasopharyngeal Normal Cell Lines Based on Support Vector Machines. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(06): 1566-1569.
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