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Found 4 papers, 3 papers with code
Longitudinal prediction of DNA methylation to forecast epigenetic outcomes
Our model is trained on a birth cohort of children with methylation profiled at ages 0-4, and we demonstrated that the status of methylation sites for each child can be accurately predicted at ages 5-7.
Latent Variable Multi-output Gaussian Processes for Hierarchical Datasets
Multi-output Gaussian processes (MOGPs) have been introduced to deal with multiple tasks by exploiting the correlations between different outputs.
Cluster-Specific Predictions with Multi-Task Gaussian Processes
A variational EM algorithm is derived for dealing with the optimisation of the hyper-parameters along with the hyper-posteriors' estimation of latent variables and processes.
MAGMA: Inference and Prediction with Multi-Task Gaussian Processes
A novel multi-task Gaussian process (GP) framework is proposed, by using a common mean process for sharing information across tasks.
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