mGPfusion: Predicting protein stability changes with Gaussian process kernel learning and data fusion

1 code implementation • 8 Feb 2018 • Emmi Jokinen, Markus Heinonen, Harri Lähdesmäki

We introduce a Bayesian data fusion model that re-calibrates the experimental and in silico data sources and then learns a predictive GP model from the combined data.

Protein Design