| dc.contributor | 統計系 | |
| dc.creator (作者) | 郭訓志 | zh_TW |
| dc.creator (作者) | Kuo, Hsun-Chih;Yeh, Sheng-Tzung | |
| dc.date (日期) | 2015 | |
| dc.date.accessioned | 3-Nov-2015 16:57:53 (UTC+8) | - |
| dc.date.available | 3-Nov-2015 16:57:53 (UTC+8) | - |
| dc.date.issued (上傳時間) | 3-Nov-2015 16:57:53 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/79305 | - |
| dc.description.abstract (摘要) | Feature selection has been an important issue for classification of proteomic mass spectra data since researchers are often interested in identifying potentially important biomarkers. In this study, a segmentation approach is adopted to locate the potential biomarker regions from the possible m/z range. Illustration is through real prostate cancer proteomic mass spectra data. | |
| dc.format.extent | 194520 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | Lecture Notes in Computer Science,LNAI,112-119 | |
| dc.title (題名) | Segmentation Based Feature Selection on Classifying Proteomic Spectral Data | |
| dc.type (資料類型) | conference | en |
| dc.identifier.doi (DOI) | 10.1007/978-3-319-19369-4_11 | |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1007/978-3-319-19369-4_11 | |
