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Efficient use of unlabeled data for protein sequence classification: a comparative study.

, , and . BMC Bioinform., (2009)

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Spatially-constrained sample kernel for sequence classification, , and . Snowbird Learning Workshop, Utah, (April 2008)Efficient use of unlabeled data for protein sequence classification: a comparative study., , and . BMC Bioinform., (2009)Protein homology detection with biologically inspired features and interpretable statistical models., and . Int. J. Data Min. Bioinform., 2 (2): 157-175 (2008)Scalable Algorithms for String Kernels with Inexact Matching., , and . NIPS, page 881-888. Curran Associates, Inc., (2008)On the Role of Local Matching for Efficient Semi-supervised Protein Sequence Classification., , and . BIBM, page 217-222. IEEE Computer Society, (2008)Fast and Accurate Multi-class Protein Fold Recognition with Spatial Sample Kernels, , and . Computational Systems Bioinformatics: Proceedings of the CSB2008 Conference, page 133-143. Stanford, CA, (August 2008)Acceptance 22\% (30/135).Sparse Logistic Classifiers for Interpretable Protien Homology Detection., and . ICDM Workshops, page 99-103. IEEE Computer Society, (2006)Fast protein homology and fold detection with sparse spatial sample kernels., , and . ICPR, page 1-4. IEEE Computer Society, (2008)A fast, semi-supervised learning method for protein sequence classification, , and . 8th International Workshop on Data Mining in Bioinformatics (BIOKDD 2008), page 29-37. Las Vegas, NV, (August 2008)Acceptance 30\% (8/25).