A powerful framework for differential co-expression analysis of general risk factors.

Abstract excerpt

MOTIVATION: Differential co-expression analysis (DCA) aims to identify genes in a pathway whose shared expression depends on a risk factor. While DCA provides insights into the biological activity of diseases, existing methods are limited to categorical risk factors and/or suffer from bias due to batch and variance-specific effects. We propose a new framework, Kernel-based DCA (KDCA), that harnesses correlation...

Topics

• Humans
• Thyroid Neoplasms
• Computational Biology
• Disease
• Gene Expression
• Gene Regulatory Networks
• Proto-Oncogene Proteins B-raf