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Bioinformatics / Bayesian statistics / Cross-validation / Model selection / Ensemble learning / Supervised learning / Support vector machine / Naive Bayes classifier / Sequence alignment / Statistics / Machine learning / Statistical classification


Assessing the Performance of Macromolecular Sequence Classifiers Cornelia Caragea, Jivko Sinapov, Vasant Honavar Drena Dobbs
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Document Date: 2007-09-25 17:18:34

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File Size: 122,91 KB

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Sci / Springer-Verlag / /

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Protein Data Bank / 1A ASA / IOS Press / /

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United States / /

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Machine learning algorithms / supervised learning algorithm / throughput data acquisition technologies / protein sequence culling server / real world applications / non-binding site / data bank / prediction algorithms / predictive algorithm / learning algorithms / /

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Department of Genetics and Cell Biology Iowa State University Ames / TN TP / Iowa State University / Ensemble of SVMs WinCV SeqCV / FN CC / /

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Silva Filho / R. L. Jernigan / V / /

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representative / /

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New York / Iowa / /

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Machine Learning / Proteomics / Complex Systems / Lecture Notes in Computer Science / Molecular Biology / /

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Proteomics / Machine learning algorithms / bioinformatics / high throughput data acquisition technologies / X-ray / gene expression / supervised learning algorithm / Data Mining / Machine learning / using machine learning algorithms / predictive algorithm / prediction algorithms / /

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