Visualizing Validation of Protein Surface Classifiers
| dc.contributor.author | Sarikaya, Alper | en_US |
| dc.contributor.author | Albers, Danielle | en_US |
| dc.contributor.author | Mitchell, Julie | en_US |
| dc.contributor.author | Gleicher, Michael | en_US |
| dc.contributor.editor | H. Carr, P. Rheingans, and H. Schumann | en_US |
| dc.date.accessioned | 2015-03-03T12:34:38Z | |
| dc.date.available | 2015-03-03T12:34:38Z | |
| dc.date.issued | 2014 | en_US |
| dc.description.abstract | Many 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.seriesinformation | Computer Graphics Forum | en_US |
| dc.identifier.doi | 10.1111/cgf.12373 | en_US |
| dc.identifier.issn | 1467-8659 | en_US |
| dc.identifier.uri | https://doi.org/10.1111/cgf.12373 | en_US |
| dc.publisher | The Eurographics Association and John Wiley and Sons Ltd. | en_US |
| dc.title | Visualizing Validation of Protein Surface Classifiers | en_US |