Metabolic engineering aims to develop efficient cell factories by rewiring cellular
metabolism. As one of the most commonly used cell factories, Saccharomyces cerevisiae …

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

Motivation: Over the last decade, numerous methods have been developed for inference of
regulatory networks from gene expression data. However, accurate and systematic …

Numerous methods have been developed for inferring gene regulatory networks from
expression data, however, both their absolute and comparative performance remain poorly …

Recent progress in DNA manipulation and gene circuit engineering has greatly improved
our ability to programme and probe mammalian cell behaviour. These advances have led to …

Network inference, which is the reconstruction of biological networks from high-throughput
data, can provide valuable information about the regulation of gene expression in cells …

It remains unclear whether causal, rather than merely correlational, relationships in
molecular networks can be inferred in complex biological settings. Here we describe the …

Gene regulatory networks are powerful abstractions of biological systems. Since the advent
of high-throughput measurement technologies in biology in the late 1990s, reconstructing …

Motivation: Reconstruction of gene regulatory networks (GRNs), which explicitly represent
the causality of developmental or regulatory process, is of utmost interest and has become a …

Background Systems biology has embraced computational modeling in response to the
quantitative nature and increasing scale of contemporary data sets. The onslaught of data is …