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

We present Peax, 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, an...

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Detalles Bibliográficos
Autores principales: Lekschas, Fritz, Peterson, Brant, Haehn, Daniel, Ma, Eric, Gehlenborg, Nils, Pfister, Hanspeter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323802/
https://www.ncbi.nlm.nih.gov/pubmed/34334852
http://dx.doi.org/10.1111/cgf.13971

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323802/
https://www.ncbi.nlm.nih.gov/pubmed/34334852
http://dx.doi.org/10.1111/cgf.13971

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