Article

SlowMoMan: A web app for discovery of important features along user-drawn trajectories in 2D embeddings

2022-08-25

Abstract excerpt

Nonlinear low-dimensional embeddings allow humans to visualize high-dimensional data, as is often seen in bioinformatics, where data sets may have tens of thousands of dimensions. However, relating the axes of a nonlinear embedding to the original dimensions is a nontrivial problem. In particular, humans may identify patterns or interesting subsections in the embedding, but cannot easily identify what those patter...

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Literature Corpus work: 7cb84ce0-9a7f-53c6-a210-368d829622a2
DOI: 10.1101/2022.08.23.505019

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