Title
Visualization of multi-dimensional data of bioactive chemicals using a hierarchical data visualization technique "Heiankyo view"
Abstract
In the age of combinatorial chemistry and high throughput screening, large-scale data of bioactive chemicals oriented to drug development are being accumulated. Due to the difficulties inherent in understanding such large quantities of data, information visualization techniques are increasingly attractive. Authors apply "Heiankyo View", which is the technique for the representation of large-scale hierarchical data, for the visualization of multi-dimensional data of bioactive chemicals. In the present study, we investigated applicability of the visualization technique to the structure-activity relationship (SAR) analyses. 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 hierarchical data. HeiankyoView is suitable for the visualization of such hierarchical data. This paper first describes the algorithmic overview of Heiankyo View, and then provides some example of visualization of multi-dimensional data of bioactive chemicals.
Year
Venue
Keywords
2006
APVIS
heiankyo view,structure-activity relationship,present study,information visualization technique,bioactive chemical,visualization technique,multi-dimensional data,large-scale data,large-scale hierarchical data,hierarchical data,recursive partitioning,drug development,visualization,chemical structure,combinatorial chemistry,high throughput screening,structure activity relationship,information visualization
Field
DocType
ISBN
Multi dimensional data,Data mining,Visualization,Computer science,Recursive partitioning,Information visualization techniques,Hierarchical database model,Rectangle packing
Conference
1-920682-41-4
Citations 
PageRank 
References 
4
0.52
11
Authors
2
Name
Order
Citations
PageRank
Takayuki Itoh150365.85
Fumiyoshi Yamashita2153.67