Computational Intelligence in Bioinformatics [Hardcover]

Combining biology, computer science, mathematics, and statistics, the field of bioinformatics has become a hot new discipline with profound impacts on all aspects of biology and industrial application. Now, Computational Intelligence in Bioinformatics offers an introduction to the topic, covering the most relevant and popular CI methods, while also encouraging the implementation of these methods to readers' research.Preface.

Contributors.

Part One Gene Expression Analysis and Systems Biology.

1. Hybrid of Neural Classifi er and Swarm Intelligence in Multiclass Cancer Diagnosis with Gene Expression Signatures (Rui Xu, Georgios C. Anagnostopoulos, and Donald C. Wunsch II).

1.1 Introduction.

1.2 Methods and Systems.

1.3 Experimental Results.

1.4 Conclusions.

2. Classifying Gene Expression Profi les with Evolutionary Computation (Jin-Hyuk Hong and Sung-Bae Cho).

2.1 DNA Microarray Data Classifi cation.

2.2 Evolutionary Approach to the Problem.

2.3 Gene Selection with Speciated Genetic Algorithm.

2.4 Cancer Classifi ction Based on Ensemble Genetic Programming.

2.5 Conclusion.

3. Finding Clusters in Gene Expression Data Using EvoCluster (Patrick C. H. Ma, Keith C. C. Chan, and Xin Yao).

3.1 Introduction.

3.2 Related Work.

3.3 Evolutionary Clustering Algorithm.

3.4 Experimental Results.

3.5 Conclusions.

4. Gene Networks and Evolutionary Computation (Jennifer Hallinan).

4.1 Introduction.

4.2 Evolutionary Optimization.

4.3 ComputalC@