A Comparative Study of Improvements Filter Methods Bring on Feature Selection Using Microarray Data
文献类型：会议论文
| 作者 | Yingying Wang; Xiaomao Fan; Yunpeng Cai |
| 出版日期 | 2014 |
| 会议名称 | 3rd International Conference on Health Information Science (HIS) |
| 会议地点 | Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen |
| 英文摘要 | 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 result greatly, thus it is important to evaluate these filter methods in a system way. In this paper, we compare the performance of statistical-based, biological-based 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 showed that with similar or better AUC, precision and less features, 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 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5889]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2014 |
| 推荐引用方式 GB/T 7714 | Yingying Wang,Xiaomao Fan,Yunpeng Cai. A Comparative Study of Improvements Filter Methods Bring on Feature Selection Using Microarray Data[C]. 见:3rd International Conference on Health Information Science (HIS). Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen. |
入库方式： OAI收割
来源：深圳先进技术研究院
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