Danielle Belgrave

Bayesian Machine Learning Approaches for Longitudinal Latent Class Modelling to Define Wheezing Phenotypes to Elucidate Environmental Associates

Christopher M. Bishop, Iain Buchan, Adnan Custovic, 2012 .

Predicting First-Episode Psychosis Associated with Cannabis Use with Artificial Neural Networks and Deep Learning

Fionn Murtagh, Robin M. Murray, Daniel Stahl, 2018, IPMU.

A Graphical Approach to Missing Data in Longitudinal Analysis Using Infer.net.

Christopher M. Bishop, John Guiver, Danielle Belgrave, 2013 .

Predictive Modelling Strategies to Understand Heterogeneous Manifestations of Asthma in Early Life

Rachel Cassidy, Daniel Stamate, Adnan Custovic, 2017, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA).

Proceedings of the 26th International Workshop on Statistical Modelling. Valencia (Spain)

Christopher M. Bishop, Adnan Custovic, Angela Simpson, 2011 .

Bayesian Machine Learning Approaches for Longitudinal Latent Class Modelling to Define Wheezing Phenotypes to Elucidate Genetic and Environmental Predisposition

Christopher M. Bishop, Adnan Custovic, Angela Simpson, 2012 .

Disaggregating asthma: Big investigation versus big data

Iain Buchan, Adnan Custovic, Angela Simpson, 2017, The Journal of allergy and clinical immunology.

A genome-wide association study identifies CDHR3 as a susceptibility locus for early childhood asthma with severe exacerbations

Thomas Blicher, David Torrents, Adnan Custovic, 2013, Nature Genetics.

Distinguishing benign from pathologic TH2 immunity in atopic children.

Adnan Custovic, Angela Simpson, Danielle Belgrave, 2016, The Journal of allergy and clinical immunology.

Quantification of specific IgE to whole peanut extract and peanut components in prediction of peanut allergy.

Adnan Custovic, Angela Simpson, Danielle Belgrave, 2011, The Journal of allergy and clinical immunology.