A hybrid unsupervised and supervised clustering applied to microarray data
This work shows how one can determine an optimal combination of clustering algorithms by performing a hybrid biclustering of data with unsupervised methods, and how to extract coherent and typically small clusters of genes that vary as much as possible across the samples using an supervised method l...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
International Science and Engineering Society, o.s.
2013-10-01
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| Series: | International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems |
| Online Access: | http://ijates.org/index.php/ijates/article/view/21 |