Identifying term relations cross different gene ontology categories.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: The Gene Ontology (GO) is a community-based bioinformatics resource that employs ontologies to represent biological knowledge and describes information about gene and gene product function. GO includes three independent categories: molecular function, biological process and cellular component. For better biological reasoning, identifying the biological relationships between terms in different categories are important. However, the existing measurements to calculate similarity between terms in different categories are either developed by using the GO data only or only take part of combined gene co-function network information.

Authors

  • Jiajie Peng
    School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China. jiajiepeng@hit.edu.cn.
  • Honggang Wang
    Department of Graduate Computer Science and Engineering, Katz School of Science and Health, Yeshiva University, New York City, NY, 10033.
  • Junya Lu
    School of Computer Science, Northwestern Polytechnical University, Xi'an, China.
  • Weiwei Hui
    School of Computer Science, Northwestern Polytechnical University, Xi'an, China.
  • Yadong Wang
    The Biofoundry, Department of Biomedical Engineering, Cornell University, Ithaca, NY, United States.
  • Xuequn Shang