Inverse problems in statistical physics are motivated by the challenges of 'big data'in
different fields, in particular high-throughput experiments in biology. In inverse problems, the …

Our increasing understanding of cancer biology has led to the development of molecularly
targeted anticancer drugs. The full potential of these agents has not, however, been …

Behaviours of complex biomolecular systems are often irreducible to the elementary
properties of their individual components. Explanatory and predictive mathematical models …

Despite considerable progress in genome-and proteome-based high-throughput screening
methods and in rational drug design, the increase in approved drugs in the past decade did …

Systematic perturbation of cells followed by comprehensive measurements of molecular and
phenotypic responses provides informative data resources for constructing computational …

In the life sciences, a new paradigm is emerging that places networks of interacting
molecules between genotype and phenotype. These networks are dynamically modulated …

Background The production of peroxide and superoxide is an inevitable consequence of
aerobic metabolism, and while these particular'reactive oxygen species'(ROSs) can exhibit a …

Drug synergy allows a therapeutic effect to be achieved with lower doses of component
drugs. Drug synergy can result when drugs target the products of genes that act in parallel …

This paper considers inference of causal structure in a class of graphical models called
conditional DAGs. These are directed acyclic graph (DAG) models with two kinds of …

Simultaneous interrogation of tumor genomes and transcriptomes is underway in
unprecedented global efforts. Yet, despite the essential need to separate driver mutations …