文章基本信息

标题：Group classification based on high-dimensional data: application to differential scanning calorimetry plasma thermogram analysis of cervical cancer and control samples
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作者：Shesh N Rai ; Jianmin Pan ; Alex Cambon 等
期刊名称：Open Access Medical Statistics
印刷版ISSN：2230-3251
电子版ISSN：2230-3251
出版年度：2013
卷号：3
页码：1-9
DOI：10.2147/OAMS.S40069
出版社：Dove Medical Press Ltd
摘要：Differential scanning calorimetry has been applied to identify protein denaturation patterns, or thermograms, in blood plasma samples that are indicative of health status. Data sets generated by differential scanning calorimetry are high dimensional, and it is complex to analyze and classify thermogram patterns. The I-RELIEF method is commonly used for group classification from high-dimensional data sets, such as gene expression data. We report the development and validation of a new method of data reduction and modeling of high-dimensional data sets. The performance of our method was demonstrated through its application to the analysis of differential scanning calorimetry plasma thermogram data. Our method was found to provide superior classification performance compared with the I-RELIEF method.
关键词：plasma thermogram; differential scanning calorimetry; group classification