BIOINFORMATICS : Hierarchical Machine Learning of Patterns for Characterising Protein Families . Machine learning in protein topology : Beyond topological discovery
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Summary
Machine learning in protein topology is beyond topological discovery, according to research published in Machine Learning in Protein topology and Beyond, a book about artificial intelligence and its applications in medicine.
- Published
- 2002-01-01
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- 0
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- 196
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- https://api.semanticscholar.org/CorpusID:16269377
References
- Modelling the structure and function of enzymes by machine learning.
- Describing patterns of protein tertiary structure.
- Cleaning the GenBank Arabidopsis thaliana data set.
- Extracting protein alignment models from the sequence database.
- Protein Information Resource: a community resource for expert annotation of protein data
- Trends in Computational Biology: A Summary Based on a RECOMB Plenary Lecture, 1999
- Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools
- Bioinformatics: Sequence, Structure, and Databanks: A Practical Approach
- Finding Patterns in Biological Sequences
- Generating Production Rules from Decision Trees
- Interactive three-dimensional computer graphics in molecular biology.
- Escaping brittleness: the possibilities of general-purpose learning algorithms applied to parallel rule-based systems
- Toward parallel and distributed learning by meta-learning
- Post-genome informatics
- Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology, August 19-23, 2000, La Jolla / San Diego, CA, USA
- Ockham: studies and selections,
- Algorithms on Strings, Trees, and Sequences - Computer Science and Computational Biology
- Computational molecular biology : an algorithmic approach
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- Bioinformatics in support of molecular medicine
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