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利用基因表达谱挖掘差异表达功能类的稳健性
Robustness of mining the differentially expressed functional classes based on gene expression profiles
【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。
【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.
【基金】 国家自然科学基金(30370798,30170515,30370388);国家863计划(2003AA2Z20512002AA2Z2052);黑龙江科技攻关重点项目(GB03C602-4);哈尔滨市科技攻关项目(2003AA3CS113);黑龙江自然科学基金(F0177);哈医大211工程“十五”建设项目
- 【文献出处】 生物信息学 ,China Journal of Bioinformatics , 编辑部邮箱 ,2006年01期
- 【分类号】Q78
- 【被引频次】4
- 【下载频次】207