Books in the Science, Engineering, And Biology Informatics series

Aims to provide a treatise, with both theoretical and experimental results, describing the basic principles of soft computing and demonstrating the various ways in which they can be used for analyzing biological data in an efficient manner. This book brings together research articles from scientists around the world.

Introduces an interdisciplinary set of methods and references on novel techniques from artificial intelligence, data mining, engineering, pattern recognition, and ontological data mining fields that are applicable to bioinformatics. This book explains the novel approaches and summarizes their advantages and disadvantages.

Covers a wide range of subjects in applying machine learning approaches for bioinformatics projects. This book introduces widely used machine learning approaches in bioinformatics and discusses, with evaluations from real case studies, how they are used in individual bioinformatics projects. It also introduces bioinformatics research methods.

Intends to present innovative approaches from database researchers supporting the challenging process of knowledge discovery in biomedicine. This book is suitable for students and researchers in informatics who are keen to contribute to this emerging field of interdisciplinary research.

Focuses on the development and application of the advanced data mining, machine learning, and visualization techniques for the identification of significant patterns in gene expression microarray data. This book is suitable for biomedical researchers for learning the methods for analyzing gene expression microarray data.