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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| Format: | Article |
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Journal of Computing
2011
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