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iterClust: a statistical framework for iterative clustering analysis
MOTIVATION: In a scenario where populations A, B1 and B2 (subpopulations of B) exist, pronounced differences between A and B may mask subtle differences between B1 and B2. RESULTS: Here we present iterClust, an iterative clustering framework, which can separate more pronounced differences (e.g. A an...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6084607/ https://www.ncbi.nlm.nih.gov/pubmed/29579153 http://dx.doi.org/10.1093/bioinformatics/bty176 |