| 利用基因表达谱挖掘差异表达功能类的稳健性 |
| |
| 引用本文： | 颜兴起,郭政,李霞,王栋,屠康.利用基因表达谱挖掘差异表达功能类的稳健性[J].生物信息学,2006,4(1):5-7. |
| |
| 作者姓名： | 颜兴起 郭政 李霞 王栋 屠康 |
| |
| 作者单位： | 1. 哈尔滨医科大学生物信息学系,哈尔滨,150086
2. 哈尔滨医科大学生物信息学系,哈尔滨,150086;同济大学生命科学与技术学院,上海,200092;哈尔滨基太生物芯片开发有限责任公司,哈尔滨,150090 |
| |
| 基金项目： | 中国科学院资助项目;国家科技攻关项目;黑龙江省科技攻关项目;黑龙江省哈尔滨市科技攻关项目;黑龙江省自然科学基金;哈尔滨医科大学校科研和教改项目 |
| |
| 摘 要： | Gene Ontology广泛地应用于基于基因芯片数据的差异表达功能类分析。基因芯片技术存在检测缺失与检测误差等问题。本文探讨上述这二个因素对利用基因表达谱挖掘Gene Ontology中差异表达功能类的影响。结果显示，差异表达功能类对于检测缺失与检测误差干扰等有一定的稳健性。
|
| 关 键 词： | 基因芯片 稳健性 |
| 文章编号： | 1672-5565（2006）-01-005-03 |
| 收稿时间： | 2005-05-26 |
| 修稿时间： | 2005-07-09 |
Robustness of mining the differentially expressed functional classes based on gene expression profiles |
| |
| YAN Xing-qi,GUO Zheng,LI Xia,WANG Dong,TU Kang.Robustness of mining the differentially expressed functional classes based on gene expression profiles[J].China Journal of Bioinformation,2006,4(1):5-7. |
| |
| Authors: | YAN Xing-qi GUO Zheng LI Xia WANG Dong TU Kang |
| |
| Abstract: | Gene Ontology is widely applied to mine differentially expressed functional classes based on the microarray experiments. However, there still are many problems of microarray technology, such as the incomplete coverage of measured genes over genome and measurement noise. We explore how such problems will affect on the mining outcomes. The results suggest that the discovered differentially expressed functional classes are robust to the factors of incomplete coverage and measurement noise. |
| |
| Keywords: | Gene Ontology |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
