Our papers are the official record of our discoveries. They allow others to build on and apply our work. Each paper is the result of many months of research, so we make a special effort to make them clear, beautiful and inspirational, and publish them in leading journals.
The fraction of logics that are biologically permitted can be bounded and shown to be tiny, which makes inferring them from experiments easier.
The bipartite nature of genetic regulatory networks means their logics are composed, which severely restricts which ones can show up in life.
Cancer patients who contract and recover from Coronavirus-2 exhibit long-term immune system weaknesses, depending on the type of cancer.
Bayesian networks describe the evolution of orthodontic features on patients receiving treatment versus no treatment for malocclusion.
Properties of protein interaction networks test the reliability of data and hint at the underlying mechanism with which proteins recruit each other.
Network analysis of diagnostic data identifies combinations of the key factors which cause Class III malocclusion and how they evolve over time.
Methods from tailored random graph theory reveal the relation between true biological networks and the often-biased samples taken from them.