Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools

Keywords

Computer science, Artificial intelligence, Feature (linguistics), Salient, Machine learning

References

• Learning with Many Irrelevant FeaturesHussein Almuallim, Thomas G. Dietterich — 1991
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• C4.5: Programs for Machine Learning (書評)重郎 金田 — 1995
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• Hybrid system for protein secondary structure prediction.Xiru Zhang, Jill P. Mesirov, David L. Waltz — 1992
• Structural principles of the globular organization of protein chains. A stereochemical theory of globular protein secondary structure.Vanessa Lim — 1974
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• Predicting the secondary structure of globular proteins using neural network models.Ning Qian, Terrence J. Sejnowski — 1988
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Cited by

• The interpretation of feedforward neural networks for secondary structure prediction using sugeno fuzzy rulesAdelmo Luis Cechin, Eduardo Battistella — 2007
• Artificial Neural Networks for Molecular Sequence AnalysisCathy Wu — 1997
• DEXTER: A system that experiments with choices of training data using expert knowledge in the domain of DNA hydrationDawn Cohen, Casimir A. Kulikowski, Helen M. Berman — 1995
• Decision tree-based formation of consensus protein secondary structure predictionJoachim Selbig, Theo Mevissen, Thomas Lengauer — 1999
• Minimum redundancy feature selection from microarray gene expression dataChris Ding, HANCHUAN PENG — 2003
• Artificial intelligence in genomic sequence, protein structure function prediction and DNA microarrays: a surveyAthanasios V. Vasilakos, Bing Niu, Liu Liang — 2009
• Stuffing Mind into Computer: Knowledge and Learning for Intelligent SystemsKevin J. Cherkauer — 1995
• Development of a novel genome informatics strategy on the basis of Self-Organizing Map (SOM)Takashi Abe — 2004
• DEXTER: A System that Experiments with Choices of Training Data Using Expert Knowledge in the Domain of DNA HydrationDawn Cohen, Casimir A. Kulikowski, Helen M. Berman — 2004
• Rapidly Estimating the Quality of Input Representations for Neural NetworksJ. Shavlik, Kevin J. Cherkauer — 1995
• Machine Learning and its Application to Bioinformatics: An OverviewA. Tan, D. Gilbert — 2001
• BIOINFORMATICS : Hierarchical Machine Learning of Patterns for Characterising Protein Families . Machine learning in protein topology : Beyond topological discoveryAik Choon, Tấn, G. David — 2002
• Biology and BiochemistryP. Argos, D. Frishman, B. Rost — 1996
• Constructive Induction of Cartesian Product AttributesM. Pazzani — 1998
• The Protein Folding Problem Solved by a Fuzzy Inference System Extracted from an Artificial Neural NetworkEduardo Battistella, A. Cechin — 2004
• Aid to discovery of new protein foldings2007

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