Visualization and Level-of-Detail Control for Multi-Dimensional Bioactive Chemical Data

We previously applied our own hierarchical data visualizationtechnique for structure-activity relationship (SAR)analyses of biochemical data. The study applied a recursivepartitioning to store the drugs as hierarchical data,based on their chemical structures, and visualized the hierarchyof drugs. Though the activity data of drugs is usuallymulti-dimensional, our previous work did not represent themulti-dimensional values onto one display space. This paperpresents a technique for visualizing hierarchical multidimensionaldata, and its level-of-detail (LOD) control,for visualization of multi-dimensional bioactive chemicaldata. The technique is an extension of our hierarchicaldata visualization technique, where the extended techniqueplaces leaf-nodes as well as the original hierarchical datavisualization technique, and represents multi-dimensionalvalues by dividing the icons of the leaf nodes.