Feature-based Visualization
Feature-Based Visualization is a visualization approach that selectively emphasizes salient structures or patterns in scientific data by extracting and representing domain-relevant features, distinguishing itself from holistic visualization techniques through its focus on abstracted, semantically meaningful elements derived from the data.
64
Publications
2.9K
Citations
232
Authors
86
Institutions
Publications per year
2017–2026
28
64
Visualizing ’omic feature rankings and log-ratios using Qurro
Marcus W. Fedarko, Cameron Martino, James T. Morton et al. · NAR Genomics and Bioinformatics · 2020 · 181 citations · Full text
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Delft University of Technology
Delft, The Netherlands
4 h-index
9 publications
453 citations
University of California, Santa Cruz
Santa Cruz, United States
3 h-index
5 publications
92 citations
University of Utah
Salt Lake City, United States
3 h-index
9 publications
397 citations
Stanford University
Stanford, United States
2 h-index
2 publications
68 citations

Scripps Institution of Oceanography
La Jolla, United States
2 h-index
4 publications
410 citations
Simon Fraser University
Burnaby, Canada
2 h-index
6 publications
153 citations
Simons Foundation
New York, United States
2 h-index
2 publications
205 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
2 h-index
2 publications
149 citations
1–8 of 86
TVCG · 12 publications · 684 citations
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3 publications · 87 citations
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Repository · 3 publications · 309 citations
3
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1 publications · 181 citations
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1 publications · 22 citations
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