Measuring semantic similarities by combining gene ontology annotations and gene co-function networks.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: Gene Ontology (GO) has been used widely to study functional relationships between genes. The current semantic similarity measures rely only on GO annotations and GO structure. This limits the power of GO-based similarity because of the limited proportion of genes that are annotated to GO in most organisms.

Authors

  • Jiajie Peng
    School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China. jiajiepeng@hit.edu.cn.
  • Sahra Uygun
    Department of Energy Plant Research Laboratory, Michigan State University, East Lansing, MI, 48824, USA. uygunsah@msu.edu.
  • Taehyong Kim
    Department of Plant Biology, Carnegie Institution for Science, 260 Panama St, Stanford, CA, 94305, USA. thkim04@gmail.com.
  • Yadong Wang
    The Biofoundry, Department of Biomedical Engineering, Cornell University, Ithaca, NY, United States.
  • Seung Y Rhee
    Department of Plant Biology, Carnegie Institution for Science, 260 Panama St, Stanford, CA, 94305, USA. srhee@carnegiescience.edu.
  • Jin Chen
    Department of Neurology, University of Texas Health Science Center at Houston, Houston, TX.