Predicting disease-related phenotypes using an integrated phenotype similarity measurement based on HPO.

ABSTRACT:

Background

Improving efficiency of disease diagnosis based on phenotype ontology is a critical yet challenging research area. Recently, Human Phenotype Ontology (HPO)-based semantic similarity has been affectively and widely used to identify causative genes and diseases. However, current phenotype similarity measurements just consider the annotations and hierarchy structure of HPO, neglecting the definition description of phenotype terms.

Results

In this paper, we propose a novel phenotype similarity measurement, termed as DisPheno, which adequately incorporates the definition of phenotype terms in addition to HPO structure and annotations to measure the similarity between phenotype terms. DisPheno also integrates phenotype term associations into phenotype-set similarity mea

SUBMITTER: Xue H 

PROVIDER: S-EPMC6449884 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature