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Statistical significance for hierarchical clustering in genetic association and microarray expression studies
BACKGROUND: With the increasing amount of data generated in molecular genetics laboratories, it is often difficult to make sense of results because of the vast number of different outcomes or variables studied. Examples include expression levels for large numbers of genes and haplotypes at large num...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2003
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC328091/ https://ncbi.nlm.nih.gov/pubmed/14667254 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-4-62 |
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