Artificial Intelligence Technologies for Computational Biology

<p>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.</p><p>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.</p><p>The text is primarily written for graduate students and academic researchers in areas of electrical engineering electronics engineering computer engineering and computational biology.</p><p>This book:</p><p>• Covers algorithms in the fields of artificial intelligence and machine learning useful in biological data analysis.</p><p>• Discusses comprehensively artificial intelligence and automatic image interpretation in modern biological systems.</p><p>• Presents the application of evolutionary computations for fractal visualization of sequence data.</p><p>• Explores the use of genetic algorithms for pair-wise and multiple sequence alignments.</p><p>• Examines the roles of efficient computational techniques in biology.</p>