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Merged consensus clustering to assess and improve class discovery with microarray data
BACKGROUND: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a large number of methods available to perform clustering, but it is often unclear which method is best suited to the data...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3002369/ https://www.ncbi.nlm.nih.gov/pubmed/21129181 http://dx.doi.org/10.1186/1471-2105-11-590 |