摘要
该文在以基因本体论GO(Gene Ontology,GO)为例考察生物领域知识对基于机器学习的基因挖掘方法的影响。通过基因芯片表返谱数据实验,考察几种基因挖掘方法用与不用GO信息的效果,结果表明利用GO信息,基因挖掘方法都能得到改善。
This paper discusses the effect of biological domain knowledge,GO (Gene Ontology, GO) on the gene mining methods Through the analysis of the public microarray dataset, the results show that the gene mining methods can be improved greatly by GO compared with pure gene mining methods based on machine learning.
作者
杨德印
YANG De-yin (Soochow University, Suzhou 215123, China)
出处
《电脑知识与技术》
2010年第2期902-903,共2页
Computer Knowledge and Technology