which is the technique for the representation of large-scale hierarchical data, for the visualization of multi-dimensional data of bioactive chemicals.
The study first classifies chemicals according to similarity in their biological actions through self-organizing map analysis. It then applies a recursive partitioning method to find the relationship between biologically based categories and chemical structure, and finally it stores the drugs as visualization of such hierarchical data.
As shown in figure1,HeiankyoViewvisualizes the hierarchical data by mapping leaf-nodes as painted square icons, and non-leaf-nodes as rectangular borders. The technique targets to represent all leaf-nodes of large-scale hierarchical data in one display space without any focus-and context techniques.
Two domestic pharmaceuticals have used this software.
We are preparing trial version software. (charged)