Computational Knowledge Discovery for Bioinformatics Research

Biological and clinical studies provide valuable insight into the causes and potential cures of disease. Using statistics and data mining and other computational approaches, bioinformatics researchers can provide the medical community with ground-breaking discoveries that change how we perceive and treat these illnesses.

Computational Knowledge Discovery for Bioinformatics Research discusses the most significant research and latest practices in computational knowledge discovery approaches to bioinformatics in a cross-disciplinary manner which is useful for researchers, practitioners, academicians, mathematicians, statisticians, and computer scientists involved in the many facets of bioinformatics. This book aims to increase the awareness of interesting and challenging biomedical problems and to inspire new knowledge discovery solutions.

The many academic areas covered in this publication include, but are not limited to:

• Bioinformatics databases
• Biological data management
• Biological knowledge discovery
• Clinical research informatics
• Clustering Techniques
• Gene expression analysis
• Graph Mining
• Protein interaction networks
• Protein/RNA structure prediction
• Translational Bioinformatics