Artificial Intelligence Technologies for Computational Biology

This text emphasizes the importance of artificial intelligence  techniques in the field of biological computation. It also discusses  fundamental principles that can be applied beyond bio-inspired  computing.

It comprehensively covers important topics including  data integration, data mining, machine learning, genetic algorithms,  evolutionary computation, evolved neural networks, nature-inspired  algorithms, and protein structure alignment. The text covers the  application of evolutionary computations for fractal visualization of  sequence data, artificial intelligence, and automatic image  interpretation in modern biological systems.

The text is  primarily written for graduate students and academic researchers in  areas of electrical engineering, electronics engineering, computer  engineering, and computational biology.

This book:
• Covers algorithms in the fields of artificial intelligence, and machine learning useful in biological data analysis.
• Discusses comprehensively artificial intelligence and automatic image interpretation in modern biological systems.
• Presents the application of evolutionary computations for fractal visualization of sequence data.
• Explores the use of genetic algorithms for pair-wise and multiple sequence alignments.
• Examines the roles of efficient computational techniques in biology.