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Protein secondary structure prediction using support vector machine with advanced encoding schemes.

, , , and . Data Mining and Knowledge Discovery: Theory, Tools, and Technology, volume 5433 of SPIE Proceedings, page 80-87. SPIE, (2004)

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Protein Secondary Structure Prediction Using Support Vector Machine With a PSSM Profile and an Advanced Tertiary Classifier., , , , and . CSB Workshops, page 213-214. IEEE Computer Society, (2005)Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation Extraction., , , , and . CIBCB, page 317-322. IEEE, (2007)Protein secondary structure prediction using support vector machine with advanced encoding schemes., , , and . Data Mining and Knowledge Discovery: Theory, Tools, and Technology, volume 5433 of SPIE Proceedings, page 80-87. SPIE, (2004)Novel Clustering Algorithm Combined With DSSP Post Processing For Protein Sequence Motif Discovering., , , and . GrC, page 449-452. IEEE, (2006)Transmembrane segments prediction with support vector machine based on high performance encoding schemes., , , and . CIBCB, page 134-139. IEEE, (2004)Clustering Support Vector Machines and Its Application to Local Protein Tertiary Structure Prediction., , , , and . International Conference on Computational Science (2), volume 3992 of Lecture Notes in Computer Science, page 710-717. Springer, (2006)Understanding Protein Structure Prediction Using SVM_DT., , , , , and . ISPA Workshops, volume 3759 of Lecture Notes in Computer Science, page 203-212. Springer, (2005)Factoring tertiary classification into binary classification improves neural network for protein secondary structure prediction., , , , , and . CIBCB, page 175-181. IEEE, (2004)Transmembrane segments prediction and understanding using support vector machine and decision tree., , , , and . Expert Syst. Appl., 30 (1): 64-72 (2006)A New Seed Selection Algorithm that Maximizes Local Structural Similarity in Proteins., , , , and . EMBC, page 5822-5825. IEEE, (2006)