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BMCBI
2008

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Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable

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Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable

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Background: By using a standard Support Vector Machine (SVM) with a Sequential Minimal Optimization (SMO) method of training, Na

Myron Peto, Andrzej Kloczkowski, Vasant Honavar, R

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BMCBI 2008 | Lattice Conformation | Proteins | Sequences |

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Added	09 Dec 2010
Updated	09 Dec 2010
Type	Journal
Year	2008
Where	BMCBI
Authors	Myron Peto, Andrzej Kloczkowski, Vasant Honavar, Robert L. Jernigan

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