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The art of using t-SNE for single-cell transcriptomics
Single-cell transcriptomics yields ever growing data sets containing RNA expression levels for thousands of genes from up to millions of cells. Common data analysis pipelines include a dimensionality reduction step for visualising the data in two dimensions, most frequently performed using t-distrib...
Enregistré dans:
| Publié dans: | Nat Commun |
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| 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/PMC6882829/ https://ncbi.nlm.nih.gov/pubmed/31780648 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-019-13056-x |
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