动态代谢组学数据分析方法介绍

被引：14

作者：

王文佶

张秋菊

曲思杨

谢彪

高兵

孙琳

刘美娜

机构：

[1] 哈尔滨医科大学公共卫生学院卫生统计学教研室

来源：

中国卫生统计 | 2016年 / 33卷 / 06期

关键词：

D O I：

暂无

中图分类号：

R195.1 [卫生统计学];

学科分类号：

100401 [流行病与卫生统计学];

摘要：

<正>近年来,代谢组学发展迅速并广泛应用于营养学、毒理学、疾病诊断等各个领域[1]。随着研究的深入,代谢组学所获得的数据集因研究设计的不同而日益复杂,产生了有时间间隔的动态代谢组学数据。然而目前分析此类数据的方法十分有限,并且在大多数情况下,这种动态数据所带来的因时间因素产生的变异直接被忽略。据此,本文回顾了现有的动态代谢组学数据的分析方法并对其研究进展进行介绍。常用代谢组学数据分析方法

引用

页码：1075 / 1078

页数：4

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