Earticle

초록

영어

To promote molecular biology studies, public repositories for microarray data need to be constructed; the minimum contents for analysis of microarray experiment have been defined and standardized. Public repositories have been constructed by some researches which follow the standards such as MIAME-compliant data and MAGE-OM/ML. However, enough consideration has not been taken into the design of storage structure for the hierarchy of microarray data. In this paper, we propose alternative mapping strategy to mine the structural similarity and an advanced mapping rule from the algorithm. Object-relational mapping technique is used for extracting advanced storage design schema for microarray data and structural similarity of elements is evaluated for efficient storage construction. The mapping strategy reduced the number of relational tables remarkably. The strategy will contribute to design of the storage structure of microarray data and performance enhancement of a public repository.

목차

Abstract
 1. Introduction
 2. Background Study
  2.1. Microarray Data and MAGE (Microarray Gene Expression)
  2.2. Decision Tree
 3. Design of Decision Tree for Establishing Classification Rules
  3.1. The Basic Object-Relational Mapping Technique for XML Storage
  3.2. The Definition of Structural Similarity among Elements
  3.3. Selection of Splitting Criterion
  3.4. Classification Rules from the Decision Tree
 4. Database Implementation using the Proposed Decision Tree
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Dongkyoo Shin [ Department of Computer Engineering, Sejong University ]
• Dongil Shin [ Department of Computer Engineering, Sejong University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Bio-Science and Bio-Technology

• 간기

  격월간

• pISSN

  2233-7849

• 수록기간

  2009~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605