Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating chronic
disease of unknown aetiology that is recognized by the World Health Organization (WHO) …

Given the functional interdependencies between the molecular components in a human cell,
a disease is rarely a consequence of an abnormality in a single gene, but reflects the …

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 …

Background Correlation networks are increasingly being used in bioinformatics applications.
For example, weighted gene co-expression network analysis is a systems biology method …

High-throughput measurements of gene expression and genetic marker data facilitate
systems biologic and systems genetic data analysis strategies. Gene co-expression …

Since hub nodes have been found to play important roles in many networks, highly
connected hub genes are expected to play an important role in biology as well. However …

Motivated by recent studies in the data mining community which require to efficiently list all k-
cliques, we revisit the iconic algorithm of Chiba and Nishizeki and develop the most efficient …

Many accounts of political belief systems conceive of them as networks of interrelated
opinions, in which some beliefs are central and others peripheral. This article formally shows …

Background The predominant model for regulation of gene expression through DNA
methylation is an inverse association in which increased methylation results in decreased …

Many common diseases, such as asthma, diabetes or obesity, involve altered interactions
between thousands of genes. High-throughput techniques (omics) allow identification of …