Protein Interaction Prediction by Integrating Genomic Features and Protein Interaction Network Analysis

Abstract

The recent explosion of genomic-scale protein interaction screens has made it possible to study protein interactions on a level of interactome and networks. In this chapter, we begin with an introduction of a novel approach that probabilistically combines multiple information sources to predict protein interactions in yeast. Specifically, Section 5.2 describes the sources of genomic features. Section 5.3 provides a basic tutorial on machine-learning approaches and