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Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets
Accurate and comprehensive extraction of information from high-dimensional single cell datasets necessitates faithful visualizations to assess biological populations. A state-of-the-art algorithm for non-linear dimension reduction, t-SNE, requires multiple heuristics and fails to produce clear repre...
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| Publié dans: | Nat Commun |
|---|---|
| Auteurs principaux: | , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Nature Publishing Group UK
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6882880/ https://ncbi.nlm.nih.gov/pubmed/31780669 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-019-13055-y |
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