Data and Predictive Model Integration: An Overview of Key Concepts, Problems and Solutions

Abstract

This chapter overviews the combination of different data sources and techniques for improving functional prediction. Key concepts, requirements and approaches are introduced. It discusses two main strategies: a) Integrative data analysis and visualisation approaches with an emphasis on the processing of multiple data types or resources; and b) integrative data analysis and visualisation approaches with an emphasis on the combination of multiple predictive models and analysis techniques. It also illustrates problems in which both methodologies can be successfully applied.