Kernels and Gaussian Processes
Gaussian Processes and Gene Regulation
Gaussian process modelling of transcription factor networks using Markov Chain Monte-Carlo
Inferring Latent Functions with Gaussian Processes in Differential Equations
Approximate inference for continuous time Markov processes
Variational Autoencoder and Extensions
Modelling Transcriptional Regulation with Gaussian Processes
Graphical models
Probabilistic Approaches for Computational Biology and Medicine
Bayesian Data Fusion with Gaussian Process Priors : An Application to Protein Fold Recognition