Name: Christopher N Foley
Type: User
Company: University of Cambridge
Bio: Data scientist - PhD mathematics and MSc statistics - developing machine learning algorithms for real-world use, typically computational drug discovery.
Location: Cambridge, UK
Christopher N Foley's Projects
R package for performing high dimensional multi-trait colocalization analyses using GWAS summary data
isGWAS: ultra-high-throughput, scalable and equitable inference of genetic associations with disease
R package for investigating clustered heterogeneity in Mendelian randomization (MR) analyses.
Deep neural network from Newton vs the Machine
Genetic associations of protein-coding variants in human disease
Generalised t-augmented Gaussian mixture modelling using expectation maximisation