A comparative study of improvements Pre-filter methods bring on feature selection using microarray data

	A comparative study of improvements Pre-filter methods bring on feature selection using microarray data
	Yingying Wang; Xiaomao Fan; Yunpeng Cai
刊名	Health Information Science and Systems
	2014
英文摘要	Background: Feature selection techniques have become an apparent need in biomarker discoveries with the development of microarray. However, the high dimensional nature of microarray made feature selection become time-consuming. To overcome such difficulties, filter data according to the background knowledge before applying feature selection techniques has become a hot topic in microarray analysis. Different methods may affect final results greatly, thus it is important to evaluate these pre-filter methods in a system way. Methods: In this paper, we compared the performance of statistical-based, biological-based pre-filter methods and the combination of them on microRNA-mRNA parallel expression profiles using L1 logistic regression as feature selection techniques. Four types of data were built for both microRNA and mRNA expression profiles. Results: Results showed that pre-filter methods could reduce the number of features greatly for both mRNA and microRNA expression datasets. The features selected after pre-filter procedures were shown to be significant in biological levels such as biology process and microRNA functions. Analyses of classification performance based on precision showed the pre-filter methods were necessary when the number of raw features was much bigger than that of samples. All the computing time was greatly shortened after pre-filter procedures. Conclusions: With similar or better classification improvements, less but biological significant features, pre-filter-based feature selection should be taken into consideration if researchers need fast results when facing complex computing problems in bioinformatics.
收录类别	其他
原文出处	http://www.hissjournal.com/content/pdf/2047-2501-2-7.pdf
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/5799]
专题	深圳先进技术研究院_医工所
作者单位	Health Information Science and Systems
推荐引用方式 GB/T 7714	Yingying Wang,Xiaomao Fan,Yunpeng Cai. A comparative study of improvements Pre-filter methods bring on feature selection using microarray data[J]. Health Information Science and Systems,2014.
APA	Yingying Wang,Xiaomao Fan,&Yunpeng Cai.(2014).A comparative study of improvements Pre-filter methods bring on feature selection using microarray data.Health Information Science and Systems.
MLA	Yingying Wang,et al."A comparative study of improvements Pre-filter methods bring on feature selection using microarray data".Health Information Science and Systems (2014).