Earticle

초록

영어

The goal of the Gene Ontology is to provide a controlled vocabulary that can be applied to all organisms, even as knowledge of gene and protein roles in cells is accumulating and changing. Further, in the process of co-evolution, conflicts are unavoidable among ontology changing sequences. We use the N ⨉ M matrix to model the changing sequences in Gene ontology evolution which lead to a result ontology. According the users’ estimate of the changing sequences, we propose the updating algorithm to update the matrix as mentioned earlier. The new matrix is as the input of the MUOUE((A,R) algorithm to calculate the minimal hitting sequence set of high-potential candidates that were subject to a subsequent Bayesian reasoning approach to rank them. The instances show that our approach can be used to diagnosis the conflicts, especially under the opening environment. The diagnosis approach we proposed in this paper can provide support for the co-evolution of Gene Ontology.

목차

Abstract
 1. Introduction
 2. Concepts and Definitions
 3. Conflicts Diagnosis Model
 4. Ranking Diagnoses
 5. Instance Illustration
 6. Conclusions and Future Work
 Acknowledgements
 References

키워드

저자

• Qiu Ling [ School of Computer Science, Sichuan University of Science and Engineering, 643000 Zigong, China ]
• Liu Yong [ Sichuan University of Science and Engineering School of Automation and Electronic Information, 643000 Zigong, China ]
• Song Yingjie [ School of Computer Science and Technology, Shandong Institute of Business and Technology, 264005 Yantai, China, Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, 643000 Zigong, China ] Corresponding author
• Zhang Bin [ School of Computer Science and Technology, Shandong Institute of Business and Technology, 264005 Yantai, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605