most citedBayesian design of synthetic biological systems

100 citations · 179 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.MN2017★ 2 cited

The power of the AC-DC circuit: Operating principles of a simple multi-functional transcriptional network motif

Ruben Perez-Carrasco, Chris P. Barnes, Yolanda Schaerli +3

Genetically encoded regulatory circuits control biological function. A major focus of systems biology is to understand these circuits by establishing the relationship between speci…

stat.AP2011★ 75 cited

Designing Attractive Models via Automated Identification of Chaotic and Oscillatory Dynamical Regimes

Daniel SIlk, Paul D. W. Kirk, Chris P. Barnes +5

Chaos and oscillations continue to capture the interest of both the scientific and public domains. Yet despite the importance of these qualitative features, most attempts at constr…

stat.CO2011

Considerate Approaches to Achieving Sufficiency for ABC model selection

Chris Barnes, Sarah Filippi, Michael P. H. Stumpf +1

For nearly any challenging scientific problem evaluation of the likelihood is problematic if not impossible. Approximate Bayesian computation (ABC) allows us to employ the whole Ba…

stat.CO2011★ 2 cited

On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo

Sarah Filippi, Chris Barnes, Julien Cornebise +1

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

q-bio.MN2011★ 100 cited

Bayesian design of synthetic biological systems

Chris Barnes, Daniel Silk, Xia Sheng +1

Here we introduce a new design framework for synthetic biology that exploits the advantages of Bayesian model selection. We will argue that the difference between inference and des…