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231225s2020 xx |||||o 00| ||eng c |
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|a 10.1109/TVCG.2019.2921544
|2 doi
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|a eng
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| 100 |
1 |
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|a Lamy, Jean-Baptiste
|e verfasserin
|4 aut
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| 245 |
1 |
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|a RainBio
|b Proportional Visualization of Large Sets in Biology
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| 264 |
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|c 2020
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| 336 |
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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| 500 |
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|a Date Completed 28.05.2021
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| 500 |
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|a Date Revised 28.05.2021
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a Set visualization is a well-known task in information visualization. In biology, it is used for comparing visually sets of genes or proteins, typically using Venn diagrams. However, limitations of the Venn diagram are well-known: they are limited to 6 sets and difficult to read above 4. Many other set visualization techniques have been proposed, but they have never been widely used in biology. In this paper, we introduce RainBio, a technique for visualizing sets in biology and aimed at providing a global overview showing the size of the main intersections, in a proportional way, and the similarities between sets. We adapt rainbow boxes, a technique for visualizing small datasets, to the visualization of larger sets, using element aggregation and intersection clustering. We present the application of RainBio to three datasets, with 5, 6 and 12 sets. We also describe a small user study comparing RainBio with Venn diagrams, involving 30 students in biology. Results showed that RainBio led to significantly fewer errors on 6-set dataset, and that the majority of students preferred RainBio. RainBio is proposed as a web-based tool for up to 15 sets
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|a Journal Article
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| 700 |
1 |
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|a Tsopra, Rosy
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on visualization and computer graphics
|d 1996
|g 26(2020), 11 vom: 01. Nov., Seite 3285-3298
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|x 1941-0506
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|g volume:26
|g year:2020
|g number:11
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|g pages:3285-3298
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|u http://dx.doi.org/10.1109/TVCG.2019.2921544
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