Gene co-expression networks can be used to associate genes of unknown function with
biological processes, to prioritize candidate disease genes or to discern transcriptional …

Analysis of gene expression data is widely used in transcriptomic studies to understand
functions of molecules inside a cell and interactions among molecules. Differential co …

Biological systems respond to perturbations through the rewiring of molecular interactions,
organised in gene regulatory networks (GRNs). Among these, the increasingly high …

Cross-talk between competitive endogenous RNAs (ceRNAs) through shared miRNAs
represents a novel layer of gene regulation that plays important roles in the physiology and …

Background Elucidation of regulatory networks, including identification of regulatory
mechanisms specific to a given biological context, is a key aim in systems biology. This has …

The ubiquitous daily rhythms in mammalian physiology are guided by progression of the
circadian clock. In mice, systemic disruption of the clock can promote tumor growth. In vitro …

Wnt signaling is important for breast development and remodeling during pregnancy and
lactation. Epigenetic modifications change expression levels of components of the Wnt …

Background Network-based analysis of gene expression through co-expression networks
can be used to investigate modular relationships occurring between genes performing …

Correlation among traits is a fundamental feature of biological systems that remains difficult
to study. To address this problem, we developed a flexible approach that allows us to …

High-throughput metabolomics technologies can provide the quantification of metabolites
levels across various biological processes in different tissues, organs and species, allowing …