Visualizing Validation of Protein Surface Classifiers

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dc.contributor.authorSarikaya, Alperen_US
dc.contributor.authorAlbers, Danielleen_US
dc.contributor.authorMitchell, Julieen_US
dc.contributor.authorGleicher, Michaelen_US
dc.contributor.editorH. Carr, P. Rheingans, and H. Schumannen_US
dc.date.accessioned2015-03-03T12:34:38Z
dc.date.available2015-03-03T12:34:38Z
dc.date.issued2014en_US
dc.description.abstractMany bioinformatics applications construct classifiers that are validated in experiments that compare their results to known ground truth over a corpus. In this paper, we introduce an approach for exploring the results of such classifier validation experiments, focusing on classifiers for regions of molecular surfaces. We provide a tool that allows for examining classification performance patterns over a test corpus. The approach combines a summary view that provides information about an entire corpus of molecules with a detail view that visualizes classifier results directly on protein surfaces. Rather than displaying miniature 3D views of each molecule, the summary provides 2D glyphs of each protein surface arranged in a reorderable, small-multiples grid. Each summary is specifically designed to support visual aggregation to allow the viewer to both get a sense of aggregate properties as well as the details that form them. The detail view provides a 3D visualization of each protein surface coupled with interaction techniques designed to support key tasks, including spatial aggregation and automated camera touring. A prototype implementation of our approach is demonstrated on protein surface classifier experiments.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12373en_US
dc.publisherThe Eurographics Association and John Wiley and Sons Ltd.en_US
dc.titleVisualizing Validation of Protein Surface Classifiersen_US
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33-Issue 3
EuroVis14: Eurographics Conference on Visualization