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Significant distinct branches of hierarchical trees: a framework for statistical analysis and applications to biological data
BACKGROUND: One of the most common goals of hierarchical clustering is finding those branches of a tree that form quantifiably distinct data subtypes. Achieving this goal in a statistically meaningful way requires (a) a measure of distinctness of a branch and (b) a test to determine the significance...
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| Publicado no: | BMC Genomics |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4253613/ https://ncbi.nlm.nih.gov/pubmed/25409689 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2164-15-1000 |
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