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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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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2003
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC328091/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/14667254/ https://ncbi.nlm.nih.govhttps://doi.org/10.1186/1471-2105-4-62 |
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