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Towards structured output prediction of enzyme function

By Katja Astikainen, Liisa Holm, Esa Pitkänen, Sandor Szedmak and Juho Rousu
Topics: Proceedings
Publisher: BioMed Central
OAI identifier: oai:pubmedcentral.nih.gov:2654971
Provided by: PubMed Central
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    Citations

    1. (2006). A gold standard set of mechanistically diverse enzyme superfamilies. Genome Biol
    2. A: Decision trees for hierarchical multilabel classification: A case study in functional genomics.
    3. Accurate detection of very sparse sequence motifs.
    4. (2004). Akutsu T: Protein homology detection using string alignment kernels.
    5. (2004). Altun Y: Support vector machine learning for interdependent and structured output spaces.
    6. (2002). C: Text Classification using String Kernels.
    7. (2004). Cristianini N: Kernel Methods for Pattern Analysis Cambridge
    8. (2005). CYGD: the Comprehensive Yeast Genome Database. Nucleic Acids Research
    9. d'Alche Buc F: Kernelizing the output of tree-based methods.
    10. (2008). Enzyme function prediction with interpretable models.
    11. (2000). Gene Ontology: tool for the unification of biology.
    12. (2004). Hofmann T: Hierarchical Document Categorization with Support Vector Machines.
    13. (2005). HP: Protein function prediction via graph kernels. Bioinformatics
    14. (2004). Incremental Algorithms for Hierarchical Classification. Neural Information Processing Systems
    15. (2006). Kernel-Based Learning of Hierarchical Multilabel Classification Models.
    16. (2004). Kernelbased data fusion and its application to protein function prediction in yeast.
    17. (2002). King R: Machine learning of functional class from phenotype data. Bioinformatics
    18. Large Margin Hierarchical Classification.
    19. (2003). Learning with Taxonomies: Classifying Documents and Words.
    20. (2002). LIGAND: database of chemical compounds and reactions in biological pathways.
    21. (2004). McAllester BT: Exponentiated gradient algorithms for large-margin structured classification. Neural Information Processing Systems
    22. (2003). Mismatch string kernels for SVM protein prediction.
    23. (1999). Nonlinear Programming Athena Scientific;
    24. (2005). Parado-Hernandez E: Learning via Linear Operators: Maximum Margin Regression.
    25. (2001). RC: Estimating the support of a high-dimensional distribution. Neural Computation
    26. (2003). Smola A: Fast Kernels for String and Tree Matching.
    27. (2006). Systems Biology: Properties of Reconstructed Networks
    28. (2007). The global trace graph, a novel paradigm for searching protein sequence databases. Bioinformatics
    29. (2006). Troyanskaya O: Hierarchical multilabel prediction of gene function. Bioinformatics
    30. (2004). YZ: Enzyme family classification by support vector machines. Proteins

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