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 …

Breast cancer, characterized by its complexity and diversity, presents significant challenges
in understanding its underlying biology. In this study, we employed gene co-expression …

Renal carcinomas are a group of malignant tumors often originating in the cells lining the
small tubes in the kidney responsible for filtering waste from the blood and urine production …

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 …

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 …

Multi-omic approaches are expected to deliver a broader molecular view of cancer.
However, the promised mechanistic explanations have not quite settled yet. Here, we …

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 …