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A comparison framework and guideline of clustering methods for mass cytometry data
BACKGROUND: With the expanding applications of mass cytometry in medical research, a wide variety of clustering methods, both semi-supervised and unsupervised, have been developed for data analysis. Selecting the optimal clustering method can accelerate the identification of meaningful cell populati...
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| Publicado no: | Genome Biol |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6929440/ https://ncbi.nlm.nih.gov/pubmed/31870419 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-019-1917-7 |
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