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.  Meer

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.  Meer

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.  Meer

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.  Meer

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.  Meer

Mapping the genomic landscapes is one of the most exciting frontiers of science. This book provides an in-depth presentation of some of the important computational biology approaches to genomic sequence analysis.  Meer