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One of the central goals in biological sciences is to develop predictive models for the analysis and visualization of information. However, the analysis and visualization of biological data patterns have traditionally been approached as independent problems. This book aims to provide scientists and students with the basis for the development and application of integrative computational methods to analyse and understand biological data on a systemic scale. This book will also be of interest to advanced undergraduate or graduate students and researchers in the area of bioinformatics and life sciences with a fairly limited background in data mining, statistics or machine learning. Similarly, it will be useful for computer scientists interested in supporting the development of applications for systems biology. This book places emphasis on the processing of multiple data and knowledge resources, and the combination of different models and systems. Our goal is to address existing limitations, new requirements and solutions, by providing a comprehensive description of some of the most relevant and recent techniques and applications. However, this book covers fundamental design, application and evaluation principles, which may be adapted to related systems biology problems. Furthermore, these contributions reflect significant advances and emerging solutions for integrative data analysis and visualization.