Biological-based semi-supervised clustering algorithm to improve gene function prediction
Analysis of simultaneous clustering of gene expression with biological knowledge has now become an importanttechnique and standard practice to present a proper interpretation of the data and its underlying biology. However, commonclustering algorithms do not provide a comprehensive approach that loo...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Journal of Computing
2011
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| Subjects: | |
| Online Access: | http://eprints.utm.my/6964/ http://www.scribd.com/doc/54846391/Biological-based-Semi-supervised-Clustering-Algorithm-to-Improve-Gene-Function-Prediction |
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