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Semi-supervised adaptive-height snipping of the hierarchical clustering tree
BACKGROUND: In genomics, hierarchical clustering (HC) is a popular method for grouping similar samples based on a distance measure. HC algorithms do not actually create clusters, but compute a hierarchical representation of the data set. Usually, a fixed height on the HC tree is used, and each conti...
Gorde:
| Argitaratua izan da: | BMC Bioinformatics |
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| Egile Nagusiak: | , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
BioMed Central
2015
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4302100/ https://ncbi.nlm.nih.gov/pubmed/25592847 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-014-0448-1 |
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