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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...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2005
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1184055/ https://www.ncbi.nlm.nih.gov/pubmed/16046812 http://dx.doi.org/10.1155/JBB.2005.80 |