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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Qiang Wang Yunming Ye Huang, J.Z. Shengzhong Feng |
| Copyright Year | 2010 |
| Description | Author affiliation: Shenzhen Graduate School, Harbin Institute of Technology, Xili, 518055, China (Qiang Wang; Yunming Ye) || Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Xili, 518055, China (Huang, J.Z.; Shengzhong Feng) |
| Abstract | Clustering techniques for building gene co-expression networks suffer greatly from biological complexities. This paper proposes a fuzzy soft subspace clustering method for detecting overlapped clusters of locally co-expressed genes that may participate in multiple cellular processes and take on different biological functions. Process-specific feature subspaces of clusters and interrelations among different clusters can be extracted by this method, providing useful clues for gene co-expression network analysis. Experiments on yeast cell cycle data have shown that this method is effective in extracting biological relationships between functional gene clusters, and enhancing gene co-expression network analysis. |
| Starting Page | 47 |
| Ending Page | 50 |
| File Size | 451777 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424483037 |
| e-ISBN | 9781424483044 |
| DOI | 10.1109/BIBMW.2010.5703771 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | gene ontology Phase measurement Density measurement subspace clustering Genomics bioinformatics fuzzy clustering gene co-expression network Bioinformatics |
| Content Type | Text |
| Resource Type | Article |
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