Abstract Bayesian Networks (BNs) have become increasingly popular over the last few
decades as a tool for reasoning under uncertainty in fields as diverse as medicine, biology …

Multi-omics data integration is one of the major challenges in the era of precision medicine.
Considerable work has been done with the advent of high-throughput studies, which have …

Network Medicine applies network science approaches to investigate disease
pathogenesis. Many different analytical methods have been used to infer relevant molecular …

Plants are fascinating and complex organisms. A comprehensive understanding of the
organization, function and evolution of plant genes is essential to disentangle important …

Combined analyses of molecular data, such as DNA copy-number alteration, mRNA and
protein expression, point to biological functions and molecular pathways being deregulated …

Systems biology aims to develop mathematical models of biological systems by integrating
experimental and theoretical techniques. During the last decade, many systems biological …

In this review we give an overview of computational and statistical methods to reconstruct
cellular networks. Although this area of research is vast and fast develo**, we show that …

Bayesian networks (BNs) provide a neat and compact representation for expressing joint
probability distributions (JPDs) and for inference. They are becoming increasingly important …

Motivation: An important problem in systems biology is the inference of biochemical
pathways and regulatory networks from postgenomic data. Various reverse engineering …

There have been various attempts to reconstruct gene regulatory networks from microarray
expression data in the past. However, owing to the limited amount of independent …