Colorectal cancer is the most common neoplasm and the second leading cause of cancer death in developed countries. Colorectal cancer (CRC) is considered a heterogeneous and complex disease that comprises different tumor phenotypes.

Our data and other external data sources available as gene ontology, pathways and literature will be combined using a data structure based on network theory to identify relationships between genes and identify new biomarkers.

In this project, we provide omics data useful to identify diagnostic and prognostic biomarkers for CRC.