In the past 10years a statistical technique, approximate Bayesian computation (ABC), has
been developed that can be used to infer parameters and choose between models in the …

An increasing number of industrial bioprocesses capitalize on living cells by using them as
cell factories that convert sugars into chemicals. These processes range from the production …

As modeling becomes a more widespread practice in the life sciences and biomedical
sciences, researchers need reliable tools to calibrate models against ever more complex …

Motivation: Computer simulations have become an important tool across the biomedical
sciences and beyond. For many important problems several different models or hypotheses …

The interplay of mathematical modelling with experiments is one of the central elements in
systems biology. The aim of reverse engineering is to infer, analyse and understand …

Approximate Bayesian computation (ABC) has gained popularity over the past few years for
the analysis of complex models arising in population genetics, epidemiology and system …

Dynamical systems describing whole cells are on the verge of becoming a reality. But as
models of reality, they are only useful if we have realistic parameters for the molecular …

This two-part series develops a framework for effective parameterization of polymer
electrolyte membrane (PEM) fuel cell models with limited and non-invasive measurements …

The power of genome-wide association studies (GWAS) rests on several foundations:(i)
there is a significant amount of additive genetic variation,(ii) individual causal …

Mathematical modelling of signalling pathways aids experimental investigation in system
and synthetic biology. Ever increasing data availability prompts the development of large …