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Exploring dimension-reduced embeddings with Sleepwalk
Dimension-reduction methods, such as t-SNE or UMAP, are widely used when exploring high-dimensional data describing many entities, for example, RNA-seq data for many single cells. However, dimension reduction is commonly prone to introducing artifacts, and we hence need means to see where a dimensio...
Enregistré dans:
| Publié dans: | Genome Res |
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| Auteurs principaux: | , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Cold Spring Harbor Laboratory Press
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7263188/ https://ncbi.nlm.nih.gov/pubmed/32430339 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/gr.251447.119 |
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