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An Efficient Storage Mapping Method For Semi-Structured Microarray Data Based On Structural Similarity

초록

영어

Public repositories for microarray data 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.

목차

Abstract
 1. Introduction
 2. Design of Decision Tree for Establishing Classification Rules
 3. Conclusion
 Acknowledgement
 References

저자정보

  • Dongkyoo Shin Department of Computer Engineering, Sejong University
  • Dongil Shin Department of Computer Engineering, Sejong University
  • Jongil Jeong Industry Development Division, Korea Internet Security Agency

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