Simple Summary Genes whose expression levels rise and fall similarly in a large set of
samples, may be considered coexpressed. Gene coexpression analysis refers to the en …

Background Understanding the impact of gene interactions on disease phenotypes is
increasingly recognised as a crucial aspect of genetic disease research. This trend is …

Gene coexpression analysis refers to the discovery of sets of genes which exhibit similar
expression patterns across multiple transcriptomic data sets, such as microarray experiment …

Target discovery helps identify biomolecules or molecular interactions, which constitute
critical elements in the pathophysiological cellular pathway and are predicted to be …

Coexpressed genes tend to participate in related biological processes. Gene coexpression
analysis allows the discovery of functional gene partners or the assignment of biological …

Understanding how genes are differentially expressed across tissues is key to reveal the
etiology of human diseases. Genes are never expressed in isolation, but rather co …

Background: Molecular interaction networks (MINs) aim to capture the complex relationships
between interacting molecules within a biological system. MINs can be constructed from …