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

We previously applied our own hierarchical data visualization technique for structure-activity relationship (SAR)analyses of biochemical data. The study applied a recursive partitioning to store the drugs as hierarchical data,based on their chemical structures, and visualized the hierarchy of drugs. Though the activity data of drugs is usually multi-dimensional, our previous work did not represent the multi-dimensional values onto one display space. This paper presents a technique for visualizing hierarchical multidimensional data, and its level-of-detail (LOD) control,for visualization of multi-dimensional bioactive chemical data. The technique is an extension of our hierarchical data visualization technique, where the extended technique places leaf-nodes as well as the original hierarchical data visualization technique, and represents multi-dimensional values by dividing the icons of the leaf nodes.