HPOSim: an R package for phenotypic similarity measure and enrichment analysis based on the human phenotype ontology.

Journal: PloS one
Published Date:

Abstract

BACKGROUND: Phenotypic features associated with genes and diseases play an important role in disease-related studies and most of the available methods focus solely on the Online Mendelian Inheritance in Man (OMIM) database without considering the controlled vocabulary. The Human Phenotype Ontology (HPO) provides a standardized and controlled vocabulary covering phenotypic abnormalities in human diseases, and becomes a comprehensive resource for computational analysis of human disease phenotypes. Most of the existing HPO-based software tools cannot be used offline and provide only few similarity measures. Therefore, there is a critical need for developing a comprehensive and offline software for phenotypic features similarity based on HPO.

Authors

  • Yue Deng
    School of Artificial Intelligence, Beihang University, Beijing 100191, China.
  • Lin Gao
  • Bingbo Wang
    School of Computer Science and Technology, Xidian University, Xi'an, People's Republic of China.
  • Xingli Guo
    School of Computer Science and Technology, Xidian University, Xi'an, People's Republic of China.