Cancer subtypes recognition and its gene expression profiles analysis based on geometrical learning
文献类型：期刊论文
| 作者 | Cao WM (Cao Wenming) ; Ding LJ (Ding Lijun) |
| 刊名 | chinese journal of electronics
 |
| 出版日期 | 2006 |
| 卷号 | 15期号:4a页码:891-894 |
| 关键词 | gene expression profiles cancer subtypes geometrical learning convex hull CLASSIFICATION PREDICTION |
| ISSN号 | 1022-4653 |
| 通讯作者 | cao, wm, shenzhen univ, key lab intelligent informat proc, shenzhen 518060, peoples r china. |
| 中文摘要 | the accurate recognition of cancer subtypes is very significant in clinic. especially, the dna microarray gene expression technology is applied to diagnosing and recognizing cancer types. this paper proposed a method of that recognized cancer subtypes based on geometrical learning. firstly, the cancer genes expression profiles data was pretreated and selected feature genes by conventional method; then the expression data of feature genes in the training samples was construed each convex hull in the high-dimensional space using training algorithm of geometrical learning, while the independent test set was tested by the recognition algorithm of geometrical learning. the method was applied to the human acute leukemia gene expression data. the accuracy rate reached to 100%. the experiments have proved its efficiency and feasibility. |
| 学科主题 | 人工智能 |
| 收录类别 | SCI |
| 语种 | 英语 |
| 公开日期 | 2010-04-11 |
| 源URL | [http://ir.semi.ac.cn/handle/172111/10294]  |
| 专题 | 半导体研究所_中国科学院半导体研究所（2009年前） |
| 推荐引用方式 GB/T 7714 | Cao WM ,Ding LJ . Cancer subtypes recognition and its gene expression profiles analysis based on geometrical learning[J]. chinese journal of electronics,2006,15(4a):891-894. |
| APA | Cao WM ,&Ding LJ .(2006).Cancer subtypes recognition and its gene expression profiles analysis based on geometrical learning.chinese journal of electronics,15(4a),891-894. |
| MLA | Cao WM ,et al."Cancer subtypes recognition and its gene expression profiles analysis based on geometrical learning".chinese journal of electronics 15.4a(2006):891-894. |
入库方式： OAI收割
来源：半导体研究所
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