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Artificial Intelligence and Molecular Biology Book

Artificial Intelligence and Molecular Biology
Artificial Intelligence and Molecular Biology, The enormous amount of data generated by the Human Genome Project and other large-scale biological research has created a rich and challenging domain for research in artificial intelligence. These original contributions provide a current sampling of AI ap, Artificial Intelligence and Molecular Biology has a rating of 3.5 stars
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Artificial Intelligence and Molecular Biology, The enormous amount of data generated by the Human Genome Project and other large-scale biological research has created a rich and challenging domain for research in artificial intelligence. These original contributions provide a current sampling of AI ap, Artificial Intelligence and Molecular Biology
3.5 out of 5 stars based on 2 reviews
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  • Artificial Intelligence and Molecular Biology
  • Written by author Lawrence Hunter
  • Published by AAAI Press, March 1993
  • The enormous amount of data generated by the Human Genome Project and other large-scale biological research has created a rich and challenging domain for research in artificial intelligence. These original contributions provide a current sampling of AI ap
  • These original contributions provide a current sampling of AI approaches to problems of biological significance; they are the first to treat the computational needs of the biology community hand-in-hand with appropriate advances in artificial intelligence
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Book Categories

Authors

Foreword
1Molecular Biology for Computer Scientists1
2The Computational Linguistics of Biological Sequences47
3Neural Networks, Adaptive Optimization, and RNA Secondary Structure Prediction121
4Predicting Protein Structural Features With Artificial Neural Networks161
5Developing Hierarchical Representations for Protein Structures: An Incremental Approach195
6Integrating AI with Sequence Analysis210
7Planning to Learn about Protein Structure259
8A Qualitative Biochemistry and its Application to the Regulation of the Tryptophan Operon289
9Identification of Qualitatively Feasible Metabolic Pathways325
10Knowledge-Based Simulation of DNA Metabolism: Prediction of Action and Envisionment of Pathways365
11An AI Approach to the Interpretation of the NMR Spectra of Proteins396
12Molecular Scene Analysis: Crystal Structure Determination Through Imagery433
Afterword: The Anti-Expert System - Thirteen Hypotheses an AI Program Should Have Seen Through459
Index464


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Artificial Intelligence and Molecular Biology, The enormous amount of data generated by the Human Genome Project and other large-scale biological research has created a rich and challenging domain for research in artificial intelligence. These original contributions provide a current sampling of AI ap, Artificial Intelligence and Molecular Biology

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