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 …

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 …

The study of co-expression programs in the context of cancer can help to elucidate the
genetic mechanisms that are altered and lead to the disease. The identification of gene co …

Breast carcinomas are characterized by anomalous gene regulatory programs. As is well-
known, gene expression programs are able to shape phenotypes. Hence, the understanding …

Transcriptional co-expression networks represent the concerted gene regulation programs
by means of statistical inference of co-expression patterns. The rich phenomenology of …

Simple Summary Proteins are among the most fundamental building blocks and molecular
players behind the functions of cells and tissues. Their abundance and interaction patterns …

Breast cancer is a complex, heterogeneous disease at the phenotypic and molecular level.
In particular, the transcriptional regulatory programs are known to be significantly affected …