Ranking genes based on kernels

摘要

Retrieval queries in microarray databases can rank genes according either to their similarity by detecting functionally related genes, or to their importance by detecting genes with significant regulation role. Although both rankings are useful, they can be contradicting. For instance, similar highly ranked genes may have low importance and vice versa. Thus, we propose a Web-inspired kernel method for fusing the two rankings according to the user needs.