Article

Peax Interactive Visual Pattern Search in Sequential Data Using Unsupervised Deep Representation Learning

2019-04-04

Abstract excerpt

We present P eax , a novel feature-based technique for interactive visual pattern search in sequential data, like time series or data mapped to a genome sequence. Visually searching for patterns by similarity is often challenging because of the large search space, the visual complexity of patterns, and the user’s perception of similarity. For example, in genomics, researchers try to link patterns in multivariate...

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Literature Corpus work: caa15d2e-16d9-5acf-9114-52222e4cc227
DOI: 10.1101/597518

Open publication

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