Post-processing strategies for improving local gene expression pattern analysis
文献类型：期刊论文
| 作者 | Wang Qiang; Ye Yunming; Huang Joshua Zhexue; Feng Shengzhong |
| 刊名 | International journal of data mining and bioinformatics
 |
| 出版日期 | 2013 |
| 英文摘要 | This paper proposes a new analytical process highlighted by a soft subspace clustering method, a changing window technique, and a series of post-processing strategies to enhance the identification and characterisation of local gene expression patterns. The proposed method can be conducted in an interactive way, facilitating the exploration and analysis of local gene expression patterns in real applications. Experimental results have shown that the proposed method is effective in identification and characterization of functional gene groups in terms of both local expression similarities and biological coherence of genes in a cluster. |
| 收录类别 | SCI |
| 原文出处 | http://www.inderscience.com/offer.php?id=50976 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5034]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | International journal of data mining and bioinformatics |
| 推荐引用方式 GB/T 7714 | Wang Qiang,Ye Yunming,Huang Joshua Zhexue,et al. Post-processing strategies for improving local gene expression pattern analysis[J]. International journal of data mining and bioinformatics,2013. |
| APA | Wang Qiang,Ye Yunming,Huang Joshua Zhexue,&Feng Shengzhong.(2013).Post-processing strategies for improving local gene expression pattern analysis.International journal of data mining and bioinformatics. |
| MLA | Wang Qiang,et al."Post-processing strategies for improving local gene expression pattern analysis".International journal of data mining and bioinformatics (2013). |
入库方式： OAI收割
来源：深圳先进技术研究院
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