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Iterative class discovery and feature selection using Minimal Spanning Trees
BACKGROUND: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples are based on distance metrics utilizing all genes. This has the effect of obscuring clustering in samples that may be evide...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2004
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC520744/ https://www.ncbi.nlm.nih.gov/pubmed/15355552 http://dx.doi.org/10.1186/1471-2105-5-126 |