Functional Clustering Algorithm for High-Dimensional Proteomics Data
Clustering proteomics data is a challenging problem for any traditional clustering algorithm. Usually, the number of samples is largely smaller than the number of protein peaks. The use of a clustering algorithm which does not take into consideration the number of features of variables (here the num...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2005-01-01
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| Series: | Journal of Biomedicine and Biotechnology |
| Online Access: | http://dx.doi.org/10.1155/JBB.2005.80 |