In this talk we will summarise recent work from our group
in Manchester on inferring `latent biochemical species' in biological
systems using Gaussian processes and differential equations. A key
problem in biological data is when particular biochemical species of
interest are not directly measurable. We will show how the framework of
Gaussian processes can be brought to bear on the problem and values of
latent chemical species can be inferred given data and a differential
equation model.