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.
Author(s): C.H. Wu and J.W. McLarty (Eds.)
Series: Methods in Computational Biology and Biochemistry 1
Edition: 1
Publisher: Elsevier Science
Year: 2000
Language: English
Pages: 1-205
Tags: Информатика и вычислительная техника;Искусственный интеллект;Нейронные сети;
Content:
Preface
Page vii
Cathy H. Wu, Jerry McLarty
Chapter 1 Neural networks for genome informatics
Pages 3-16
Chapter 2 Neural network basics
Pages 19-27
Chapter 3 Perceptrons and multilayer perceptrons
Pages 29-39
Chapter 4 Other common architectures
Pages 41-50
Chapter 5 Training of neural networks
Pages 51-63
Chapter 6 Design issues — Feature presentation
Pages 67-77
Chapter 7 Design issues — Data encoding
Pages 79-87
Chapter 8 Design issues — Neural networks
Pages 89-102
Chapter 9 Applications — Nucleic acid sequence analysis
Pages 103-114
Chapter 10 Applications — Protein structure prediction
Pages 115-127
Chapter 11 Applications — Protein sequence analysis
Pages 129-142
Chapter 12 Integration of statistical methods into neural network applications
Pages 145-151
Chapter 13 Future of genome informatics applications
Pages 152-159
Glossary
Pages 161-191
Author index
Pages 193-200
Subject index
Pages 201-205
