Part I, Overview. Neural networks for genome informatics -- Part II, Neural network foundations. Neural network basics -- Perceptrons and multilayer perceptrons -- Other common architectures -- Training of neural networks -- Part III, Genome informatics applications. Design issues-feature presentation -- Design issues-data encoding -- Design issues-neural networks -- Applications-nucleic acid sequence analysis -- Applications-protein structure prediction -- Applications-protein sequence analysis -- Part IV, Open problems and future directions. Integration of statistical methods into neural network applications -- Future of genome informatics applications
Summary
A reference in the field of neural networks and genome informatics. It includes a tutorial of neural network foundations that introduces basic neural network technology and terminology. It features a discussion of special system designs for building neural networks for genome informatics, and also reviews and evaluations of methods in the field