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

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

• Type: Journal
• Year: 2008
• Where: BMCBI
• Authors: Myron Peto, Andrzej Kloczkowski, Vasant Honavar, Robert L. Jernigan
• Keywords: BMCBI 2008, Lattice Conformation, Proteins, Sequences