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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...

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Bibliografiska uppgifter
I publikationen:Genome Res
Huvudupphovsmän: Ovchinnikova, Svetlana, Anders, Simon
Materialtyp: Artigo
Språk:Inglês
Publicerad: Cold Spring Harbor Laboratory Press 2020
Ämnen:
Länkar: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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