An improved method for functional similarity analysis of genes based on Gene Ontology.

Journal: BMC systems biology
Published Date: Dec 23, 2016

Abstract

BACKGROUND: Measures of gene functional similarity are essential tools for gene clustering, gene function prediction, evaluation of protein-protein interaction, disease gene prioritization and other applications. In recent years, many gene functional similarity methods have been proposed based on the semantic similarity of GO terms. However, these leading approaches may make errorprone judgments especially when they measure the specificity of GO terms as well as the IC of a term set. Therefore, how to estimate the gene functional similarity reliably is still a challenging problem.

Authors

  • Zhen Tian
    School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, People's Republic of China.
  • Chunyu Wang
    School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China.
  • Maozu Guo
    School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China.
  • Xiaoyan Liu
    College of Information Technology, Jilin Agricultural University, Changchun, China.
  • Zhixia Teng
    School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China.

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