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Predicting Gene Function from Gene Expressions and Ontologies.

, , , and . Pacific Symposium on Biocomputing, page 299-310. (2001)

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Predicting Gene Function from Gene Expressions and Ontologies., , , and . Pacific Symposium on Biocomputing, page 299-310. (2001)A novel approach to fold recognition using sequence-derived properties from sets of structurally similar local fragments of proteins., , , and . ECCB, page 81-91. (2003)A Computer Scientist's Guide to the Regulatory Genome., and . Fundam. Inform., 103 (1-4): 323-332 (2010)Rough Sets in Bioinformatics., and . Trans. Rough Sets, (2007)Towards Knowledge Discovery from cDNA Microarray Gene Expression Data., , , , , , and . PKDD, volume 1910 of Lecture Notes in Computer Science, page 470-475. Springer, (2000)Using local gene expression similarities to discover regulatory binding site modules., , , , , and . BMC Bioinformatics, (2006)Learning Rule-based Models of Biological Process from Gene Expression Time Profiles Using Gene Ontology., , and . Bioinformatics, 19 (9): 1116-1123 (2003)Classification of microarrays; synergistic effects between normalization, gene selection and machine learning., , , , and . BMC Bioinformatics, (2011)Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering., , , , and . BMC Bioinformatics, (2010)Interaction Model Based on Local Protein Substructures Generalizes to the Entire Structural Enzyme-Ligand Space., , , , , , and . Journal of Chemical Information and Modeling, 48 (11): 2278-2288 (2008)