Article

Visualizing and interpreting single-cell gene expression datasets with Similarity Weighted Nonnegative Embedding

2018-03-05

Abstract excerpt

<h4>Summary</h4> High throughput single-cell gene expression profiling has enabled the characterization of novel cell types and developmental trajectories. Visualizing these datasets is crucial to biological interpretation, and the most popular method is t-Stochastic Neighbor embedding (t-SNE), which visualizes local patterns better than other methods, but often distorts global structure, such as distances betwee...

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Literature Corpus work: 79c77da4-7145-5efd-9eb1-06325676df25
DOI: 10.1101/276261

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