This book attempts to provide an overview of advanced computer applications derived from and used in biosciences and in doing so to help define and promote the newly emerging focus on molecular bioinformatics. It is intended to serve as a guidebook for both biologists who are about to turn to computers and for computer scientists who are looking for interesting application areas. The reader will find a variety of modern methodogical approaches applied to number of quite diverse topics. The book is also intended to inspire further research in this exciting and vastly expanding research area.
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This chapter concerns the application of expert systems and other techniques from artificial intelligence to various problems in bioscience. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
vector fitness function, molecular bioinformatics, reverse fitness, exon classes, phe synthesis, high resolution purification, high resolution steps, hydrophobic moment, secondary structure type, helix pairs, chain torsion angles, protein structure analysis, crossover site, cell harvesting, backpropagation network, consensus classification, real scalar, protein model, knowledge representation formalisms, prediction mode, category utility Key Phrases - Capitalized Phrases (CAPs): (learn more)
World Wide Web Server, New York, Stanford University, Academic Press, Nucleic Acids Research, Example Class, Menlo Park, Proceedings First International Conference, Morgan Kaufmann, Print-Pop New-Population, Rev Fit, Technical Report New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
This chapter concerns the application of expert systems and other techniques from artificial intelligence to various problems in bioscience. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
vector fitness function, molecular bioinformatics, reverse fitness, exon classes, phe synthesis, high resolution purification, high resolution steps, hydrophobic moment, secondary structure type, helix pairs, chain torsion angles, protein structure analysis, crossover site, cell harvesting, backpropagation network, consensus classification, real scalar, protein model, knowledge representation formalisms, prediction mode, category utility Key Phrases - Capitalized Phrases (CAPs): (learn more)
World Wide Web Server, New York, Stanford University, Academic Press, Nucleic Acids Research, Example Class, Menlo Park, Proceedings First International Conference, Morgan Kaufmann, Print-Pop New-Population, Rev Fit, Technical Report New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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- Programming in Prolog: Using the ISO Standard by William F. Clocksin in Front Matter (1), Front Matter (2), and page 124
- Handbook Of Genetic Algorithms by Lawrence David Davis on page 102, page 213, and page 249
- Semantic Information Processing by Marvin L. Minsky in Front Matter, page 22, and page 118
- Machine Learning by Tom M. Mitchell in Front Matter, and page 152
- Inductive Logic Programming (Apic Studies in Data Processing) by Stephen Muggleton on page 142, and page 146
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