會議論文
| 學年 | 97 |
|---|---|
| 學期 | 1 |
| 發表日期 | 2008-11-26 |
| 作品名稱 | Feature Selection for Cancer Classification on Microarray Expression Data |
| 作品名稱（其他語言） | |
| 著者 | 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 | IEEE; International Fuzzy Systems Association; National Kaohsiung University of Applied Sciences |
| 會議名稱 | Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on |
| 會議地點 | Kaohsiung, Taiwan |
| 摘要 | Microarray is an important tool in gene analysis research. It can help identify genes that might cause various cancers. In this paper, we use feature selection methods and the support vector machine (SVM) to search for the disease-causing genes in microarray data of three different cancers. The feature selection methods are based on Euclidian distance (ED) and Pearson correlation coefficient(PCC). We investigated the effect on prediction results by training the SVM with different numbers of features and different kinds of kernels. The results show that linear kernel is the fittest kernel for this problem. Also, equal or higher accuracy can be achieved with only 15 to 100 features which are selected from 7129 or more features of the original data sets. |
| 關鍵字 | Cancer Classification;Feature Selection;Microarray; Pearson Correlation Coefficient;Support Vector Machine |
| 語言 | en |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | |
| 研討會時間 | 20081126~20081128 |
| 通訊作者 | |
| 國別 | TWN |
| 公開徵稿 | Y |
| 出版型式 | |
| 出處 | Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications (ISDA'08) v.3, pp.153-158 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/75831 ) |