Abstract

Complex diseases are usually the consequences of accumulated disturbance of pathways instead of individual contributions of single regulatory elements. Recent advances in high-throughput biotechnologies have generated diverse types and huge amounts of data, which provide unprecedented opportunities to systematically investigate pathway-based disturbances of biological systems and their potential consequences in disease development and progression. This talk will introduce statistical inference of network disturbances leveraging topologies and multi-view biological data