Correlation and association analyses are one of the most widely used statistical methods in
research fields, including microbiome and integrative multiomics studies. Correlation and …

In order to understand the functioning of organisms on the molecular level, we need to know
which genes are expressed, when and where in the organism, and to which extent. The …

Spatially or chemically isolated functional modules composed of several cellular
components and carrying discrete functions are considered fundamental building blocks of …

One of the challenges of bioinformatics is to develop effective ways to analyze global gene
expression data. A rigorous approach to gene expression analysis must involve an up-front …

Biological networks have so many possible states that exhaustive sampling is impossible.
Successful analysis thus depends on simplifying hypotheses, but experiments on many …

Despite significant advances in characterizing the structural properties of complex networks,
a mathematical framework that uncovers the universal properties of the interplay between …

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

A major achievement in the study of complex networks is the realization that diverse
systems, from sub-cellular biology to social networks, exhibit universal topological …

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 …

High-dimensional data sets generated by high-throughput technologies, such as DNA
microarray, are often the outputs of complex networked systems driven by hidden regulatory …