Network modeling, from the ecological to the molecular scale has become an essential tool
for studying the structure, dynamics and complex behavior of living systems. Graph …

Simple Summary Out of the billions of nucleotides comprising the human DNA, a substantial
proportion (98%) represents non-coding DNA, meaning DNA that is not translated into …

The function of a protein is strongly dependent on its structure. During evolution, proteins
acquire new functions through mutations in the amino-acid sequence. Given the advance in …

Lung cancer is one of the deadliest, most aggressive cancers. Abrupt changes in gene
expression represent an important challenge to understand and fight the disease. Gene co …

With the recent availability of tissue-specific gene expression data, eg, provided by the GTEx
Consortium, there is interest in comparing gene co-expression patterns across tissues. One …

Gene co-expression networks (GCNs) have been developed as relevant analytical tools for
the study of the gene expression patterns behind complex phenotypes. Determining the …

Clear cell renal carcinoma (ccRC) is a highly heterogeneous and progressively malignant
disease. Analyzing ccRC progression in terms of modifications at the molecular and genetic …

Luminal A is the most common breast cancer molecular subtype in women worldwide.
These tumors have characteristic yet heterogeneous alterations at the genomic and …

Gene co-expression networks have become a usual approach to integrate the vast amounts
of information coming from gene expression studies in cancer cohorts. The reprogramming …

Many empirical networks originate from correlational data, arising in domains as diverse as
psychology, neuroscience, genomics, microbiology, finance, and climate science …