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Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering
BACKGROUND: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or sub-classes, of either individuals or genes. Performing a cluster analysis commonly involve decisions on how to; handle mis...
| 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/PMC3098084/ https://www.ncbi.nlm.nih.gov/pubmed/20937082 http://dx.doi.org/10.1186/1471-2105-11-503 |