Improved Feature Selection on Microarray Expression Data
學年 97
學期 1
發表日期 2008-11-13
作品名稱 Improved Feature Selection on Microarray Expression Data
作品名稱（其他語言）
著者 Hsieh, Cheng-Wei; Hsu, Hui-Huang; Lu, Ming-Da
作品所屬單位 淡江大學資訊工程學系
出版者
會議名稱 The 2008 International Computer Symposium(ICS 2008)
會議地點 臺北縣, 臺灣
摘要 To identify the relationship between genes and cancers, microarray is always helpful. However, the number of microarray data is quite large, and it is not easy to find out the disease gene from all the microarray data. This paper presents an improved feature selection to filter out the most irrelative or redundant genes. By combining the benefits of "filters" and "wrappers" feature selection, we can not only reduce the processing time of feature selection, but also increase the classification accuracy. In the result, we make a successful result with only 70 genes from 7,129 genes and 70 genes from 12,533 genes in leukemia and Lung cancer microarray data sets. The classification accuracy of leukemia and Lung cancer microarray data are 98.61% and 100%, respectively.
關鍵字 Feature selection;Filter;Wrapper;Support vector machine;Microarray
語言 en
收錄於
會議性質 國際
校內研討會地點 淡水校園
研討會時間 20081113~20081113
通訊作者
國別 TWN
公開徵稿 Y
出版型式 紙本
出處 Proceedings of the 2008 International Computer Symposium (ICS 2008)，6頁
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