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 …

Analysing the properties of a biological system through in silico experimentation requires a
satisfactory mathematical representation of the system including accurate values of the …

Motivation Single cell transcriptional profiling opens up a new avenue in studying the
functional role of cell-to-cell variability in physiological processes. The analysis of single cell …

In this work, we review the state of the art on approaches for the determination of reaction
networks and the real-time monitoring of reactions in complex chemical systems consisting …

Motivation Gene regulatory networks define regulatory relationships between transcription
factors and target genes within a biological system, and reconstructing them is essential for …

Inferring properties of the interaction matrix that characterizes how nodes in a networked
system directly interact with each other is a well-known network reconstruction problem …

Background Dynamic modelling is one of the cornerstones of systems biology. Many
research efforts are currently being invested in the development and exploitation of large …

Mechanistic dynamical models allow us to study the behavior of complex biological systems.
They can provide an objective and quantitative understanding that would be difficult to …

Cell metabolism is the biochemical machinery that provides energy and building blocks to
sustain life. Understanding its fine regulation is of pivotal relevance in several fields, from …

Learning kinetic systems from data is one of the core challenges in many fields. Identifying
stable models is essential for the generalization capabilities of data-driven inference. We …