Visualizing Validation of Protein Surface Classifiers.

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 des

SUBMITTER: Sarikaya A 

PROVIDER: S-EPMC4204728 | biostudies-literature | 2014 Jun

REPOSITORIES: biostudies-literature