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Influence of microarrays experiments missing values on the stability of gene groups by hierarchical clustering
BACKGROUND: Microarray technologies produced large amount of data. The hierarchical clustering is commonly used to identify clusters of co-expressed genes. However, microarray datasets often contain missing values (MVs) representing a major drawback for the use of the clustering methods. Usually the...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2004
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC514701/ https://www.ncbi.nlm.nih.gov/pubmed/15324460 http://dx.doi.org/10.1186/1471-2105-5-114 |