Computational analysis of phenotypes


​​We work on methods to integrate phentype ontologies between different species and to build phenotype ontologies automatically or semi-automatically. We then use phenotype ontologies to integrate, mine, and predict phenotypes across species. Using machine learning approaches, we then build predictive models that can be used for prioritization of candidate genes of diseases, identification of drug targets, and prediction of protein functions.