ToF-SIMS PC-DFA analysis of prostate cancer cell lines
ToF-SIMS PC-DFA analysis of prostate cancer cell lines
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DOI：
10.1016/j.apsusc.2008.05.256
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发表时间：
2008-12-15
影响因子：
6.7
通讯作者：
Lockyer, N. P.
中科院分区：
文献类型：
--
作者：
Baker, M. J.;Gazi, E.;Lockyer, N. P.
用C-60（+）原离子束对三种密切相关的癌细胞系进行了ToF-SIMS分析。主成分-判别函数分析（PC-DFA）被用于光谱分类。讨论并评价了各种光谱预处理方法对该数据集的最佳识别效果。在99%的置信限下，和归一化PC-DFA光谱模型的灵敏度高达83.3%，特异性高达100%。在这个置信限下，只有一个错误的光谱被错误分类。结果表明，一系列脂质和氨基酸相关的信号负责细胞系的区分。(C) 2008 Elsevier b.v.版权所有
Three closely related cancer cell lines have been analysed with ToF-SIMS using a C-60(+) primary ion beam. Principal component-discriminant function analysis (PC-DFA) has been applied for spectral classification. Various spectral pre-processing methods are discussed and assessed for optimum discrimination of this data set. The sum-normalised PC-DFA spectral model produced sensitivities as high as 83.3% and specificities as high as 100% at the 99% confidence limit. At this confidence limit only one errant spectrum was misclassified. The resulting loadings plots suggest that a range of lipid and amino-acid related signals are responsible for the cell line discrimination. (C) 2008 Elsevier B. V. All rights reserved.