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This book is a comprehensive reference in the field of neural networks and genome informatics. The tutorial of neural network foundations introduces basic neural network technology and terminology. This is followed by an in-depth discussion of special system designs for building neural networks for genome informatics, and broad reviews and evaluations of current state-of-the-art methods in the field. This book concludes with a description of open research problems and future research directions.

Genetics --- Neural networks (Computer science) --- Bioinformatics. --- Genomes. --- Data processing. --- Bio-informatics --- Biological informatics --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Genomics --- Haploidy --- Biology --- Information science --- Computational biology --- Systems biology --- Artificial intelligence --- Natural computation --- Soft computing --- Embryology --- Mendel's law --- Adaptation (Biology) --- Breeding --- Chromosomes --- Heredity --- Mutation (Biology) --- Variation (Biology) --- Data processing