Data Classification Component in a Deductive Database System and Its Application to Protein Structural Analysis

Akio NISHIKAWA  Kenji SATOU  Emiko FURUICHI  Satoru KUHARA  Kazuo USHIJIMA  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E78-D   No.11   pp.1377-1387
Publication Date: 1995/11/25
Online ISSN: 
DOI: 
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Issue on Advanced Database Technologies)
Category: Advanced Applications
Keyword: 
deductive database,  statistical analysis,  cluster analysis,  flexible aggregation,  protein structural analysis,  discrimination analysis,  

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Summary: 
Scientific database systems for the analysis of genes and proteins are becoming very important these days. We have developed a deductive database system PACADE for analyzing the three dimensional and secondary structures of proteins. In this paper, we describe the statistical data classification component of PACADE. We implemented the component for cluster analysis and discrimination analysis. In addition, we enhanced the aggregation function in order to calculate the characteristic values which are useful for data classification. By using the cluster analysis function, the proteins are thereby classified into different types of structural characteristics. The results of these structural analysis experiments are also described in this paper.