- Division of Biomedical Informatics (Cincinnati Children's Hospital Medical Center - CCHMC)
- Department of Pediatrics (University of Cincinnati - College of Medicine)
- Department of Biomedical Informatics (University of Cincinnati - College of Medicine)
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Gene Regulatory Networks (Representative publications)
Systems Biology of Disease and Drug Response (Representative publications)
Biological Network Analysis (Representative publications)
Drug Discovery and Drug Repositioning (Representative publications)
Projects (Software and Databases):
- Discovery of CFTR and non-CFTR based therapeutics: Current approved treatment for cystic fibrosis (CF) while effective has two major limitations: they show modest improvements in lung function and efficacy decreases with long term use. We are focusing on developing and applying computational big data approaches to integrate and analyze multiple, large and publicly available genome-wide data sets from CF patients and from high-throughput compound screening assays. In doing so, we plan to systematically identify and prioritize novel candidate therapeutics for CF and validate using CF-relevant model systems (CF enteroid-based models).
- Integrative analysis of multi-omics data to target fibroblast activation in Idiopathic pulmonary fibrosis (IPF): IPF is an incurable, disabling, and often fatal disease characterized by the distribution of fibrotic lesions predominantly in the peripheral areas of the lung. Currently approved therapies for IPF delay the rate of decline in lung function, but do not halt the progression of fibrosis. We are integrating computational ‘big data’ approaches with experimental validations to identify new pre-clinical therapies for IPF.
This page was last updated on May 18, 2016