SGFSC: speeding the gene functional similarity calculation based on hash tables.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: In recent years, many measures of gene functional similarity have been proposed and widely used in all kinds of essential research. These methods are mainly divided into two categories: pairwise approaches and group-wise approaches. However, a common problem with these methods is their time consumption, especially when measuring the gene functional similarities of a large number of gene pairs. The problem of computational efficiency for pairwise approaches is even more prominent because they are dependent on the combination of semantic similarity. Therefore, the efficient measurement of gene functional similarity remains 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.