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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Binhua Tang Su-Shing Chen |
| Copyright Year | 2010 |
| Description | Author affiliation: College of Computer & Information, Hohai University, Jiangsu 213022, China (Binhua Tang) || CISE and Systems Biology Lab, University of Florida, Gainesville, 32611, USA (Su-Shing Chen) |
| Abstract | Core regulatory modules play fundamental roles in amassing, processing and dispatching genetic information during whole cell life cycle. Currently most clustering methods fail to abstract inherent biological contents from related high-throughput expression profiles, although they may reduce high dimension to a certain low one. The work proposes a weighted structural model clustering method for integrative detection and analysis of core regulatory modules. The experiments on diverse data sources prove it can predict core regulatory modules effectively, thus it constructs a valuable perspective and unique measure for vital topics as pathway detection, quantitative reconstruction of bio-networks, and novel drug discovery in systems biology and bioinformatics, especially for large-scale dynamic systems and expression profiles with consideration of inherent biological meanings. |
| Starting Page | 213 |
| Ending Page | 216 |
| File Size | 499353 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424483037 |
| e-ISBN | 9781424483044 |
| DOI | 10.1109/BIBMW.2010.5703801 |
| 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 | Weight measurement Proteins Analytical models Biological system modeling regulatory module clustering model Biomedical measurements Bioinformatics expression profile |
| Content Type | Text |
| Resource Type | Article |
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