Exploring dimension-reduced embeddings with Sleepwalk.
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ABSTRACT:
SUBMITTER: Ovchinnikova S
PROVIDER: S-EPMC7263188 | biostudies-literature | 2020 May
REPOSITORIES: biostudies-literature
Publications
Exploring dimension-reduced embeddings with Sleepwalk.
Ovchinnikova Svetlana S Anders Simon S
Genome research 20200519 5
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 dimension-reduced embedding is a faithful representation of the local neighborhood and where it is not. We present Sleepwalk, a simple but powerful tool that allows the user to interactively explore an embedd ...[more]
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