Michael Glueck, Peter Hamilton, Simon Breslav, Fanny Chevalier, Azam Khan, Daniel Wigdor, Michael Brudno
PhenoBlocks: Phenotype Comparison Visualizations
IEEE Transactions on Visualization and Computer Graphics
2016
PhenoBlocks: Phenotype Comparison Visualizations (6:01 min.)
Visualisation
The differential diagnosis of hereditary disorders is a challenging task for clinicians due to the heterogeneity of phenotypesthat can be observed in patients. Existing clinical tools are often text-based and do not emphasize consistency, completeness, orgranularity of phenotype reporting. This can impede clinical diagnosis and limit their utility to genetics researchers. Herein, we presentPhenoBlocks, a novel visual analytics tool that supports the comparison of phenotypes between patients, or between a patient andthe hallmark features of a disorder. An informal evaluation of PhenoBlocks with expert clinicians suggested that the visualizationeffectively guides the process of differential diagnosis and could reinforce the importance of complete, granular phenotypic reporting.
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Visual data representations leverage the power of human perception to process complex information, and through interaction, garner new insights. Our research focuses on visualizing data from a wide variety of domains and fundamentally tackles the question, what makes a visualization effective? We explore novel visual encodings and interaction techniques, multiscale approaches, and even simulation to bridge human and automated analysis of multivariate, time-series, and graph data, ultimately aiding in hypothesis generation, testing, and sense making.
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