James Liley
Durham University(GB)
Publications by Year
Research Areas
Genetic Associations and Epidemiology, Artificial Intelligence in Healthcare and Education, Pulmonary Hypertension Research and Treatments, Bioinformatics and Genomic Networks, Explainable Artificial Intelligence (XAI)
Most-Cited Works
- → Genome-wide association study of eosinophilic granulomatosis with polyangiitis reveals genomic loci stratified by ANCA status(2019)264 cited
- → Characterization of GDF2 Mutations and Levels of BMP9 and BMP10 in Pulmonary Arterial Hypertension(2019)120 cited
- → A Pleiotropy-Informed Bayesian False Discovery Rate Adapted to a Shared Control Design Finds New Disease Associations From GWAS Summary Statistics(2015)84 cited
- → Mendelian randomisation and experimental medicine approaches to interleukin-6 as a drug target in pulmonary arterial hypertension(2021)84 cited
- → Improving the quality of machine learning in health applications and clinical research(2020)65 cited
- → A method for identifying genetic heterogeneity within phenotypically defined disease subgroups(2016)37 cited
- → Accurate error control in high‐dimensional association testing using conditional false discovery rates(2021)21 cited
- → Shared and Distinct Genomics of Chronic Thromboembolic Pulmonary Hypertension and Pulmonary Embolism(2024)15 cited
- → Genetically distinct clinical subsets, and associations with asthma and eosinophil abundance, within Eosinophilic Granulomatosis with Polyangiitis(2018)10 cited