核方法在SELDI-TOF蛋白质组学数据分类中的应用(英文)

被引:1
作者
唐凯临
李通化
陈开
黄金艳
机构
[1] 同济大学大学化学系
关键词
SELDI-TOF; Kernel-PLS; 分类;
D O I
10.16866/j.com.app.chem2007.01.027
中图分类号
Q51-3 [];
学科分类号
071010 ; 081704 ;
摘要
高解析质谱目前应用于疾病分类和治疗,然而海量数据的分析却遇到相当大的挑战。本文使用结合预处理的Kernel-PLS方法,可用于SELDI-TOF蛋白质组学数据分类。留一法交叉验证得到了敏感性0.9833和特异性1.0000的结果。
引用
收藏
页码:107 / 109
页数:3
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