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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2014
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4253613/ https://www.ncbi.nlm.nih.gov/pubmed/25409689 http://dx.doi.org/10.1186/1471-2164-15-1000 |