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Understanding the Prediction of Transmembrane Proteins by Support Vector Machine using Association Rule Mining.

, , , , and . CIBCB, page 418-425. IEEE, (2007)

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Rule Clustering and Super-rule Generation for Transmembrane Segments Prediction., , , , , , and . CSB Workshops, page 224-227. IEEE Computer Society, (2005)Transmembrane segments prediction and understanding using support vector machine and decision tree., , , , and . Expert Syst. Appl., 30 (1): 64-72 (2006)Factoring tertiary classification into binary classification improves neural network for protein secondary structure prediction., , , , , and . CIBCB, page 175-181. IEEE, (2004)CNVRuler: a copy number variation-based case-control association analysis tool., , , , , and . Bioinformatics, 28 (13): 1790-1792 (2012)Hybrid SVM Kernels for Protein Secondary Structure Prediction., , , , , and . GrC, page 762-765. IEEE, (2006)Rule Extraction from SVM for Protein Structure Prediction., , , , , and . Rule Extraction from Support Vector Machines, volume 80 of Studies in Computational Intelligence, Springer, (2008)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)A Feature Selection Algorithm Based on Graph Theory and Random Forests for Protein Secondary Structure Prediction., , , , and . ISBRA, volume 4463 of Lecture Notes in Computer Science, page 590-600. Springer, (2007)Understanding the Prediction of Transmembrane Proteins by Support Vector Machine using Association Rule Mining., , , , and . CIBCB, page 418-425. IEEE, (2007)Transmembrane segments prediction with support vector machine based on high performance encoding schemes., , , and . CIBCB, page 134-139. IEEE, (2004)