Diffusion kernel-based logistic regression models for protein function prediction.
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Ting Chen | Minghua Deng | Fengzhu Sun | Hyunju Lee | Zhidong Tu | Minghua Deng | Ting Chen | Fengzhu Sun | Hyunju Lee | Zhidong Tu
[1] Ting Chen,et al. Mapping gene ontology to proteins based on protein-protein interaction data , 2004, Bioinform..
[2] Jason Weston,et al. Gene functional classification from heterogeneous data , 2001, RECOMB.
[3] D. Lipman,et al. Improved tools for biological sequence comparison. , 1988, Proceedings of the National Academy of Sciences of the United States of America.
[4] Nello Cristianini,et al. Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast , 2003, Pacific Symposium on Biocomputing.
[5] D Haussler,et al. Knowledge-based analysis of microarray gene expression data by using support vector machines. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[6] Amanda Clare,et al. The utility of different representations of protein sequence for predicting functional class , 2001, Bioinform..
[7] T. Takagi,et al. Assessment of prediction accuracy of protein function from protein–protein interaction data , 2001, Yeast.
[8] J. Hanley,et al. The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.
[9] Hans-Werner Mewes,et al. Integrative Analysis of Protein Interaction Data , 2000, ISMB.
[10] R. King,et al. On the optimization of classes for the assignment of unidentified reading frames in functional genomics programmes: the need for machine learning. , 2000, Trends in biotechnology.
[11] Gary D Bader,et al. Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry , 2002, Nature.
[12] Alessandro Vespignani,et al. Global protein function prediction from protein-protein interaction networks , 2003, Nature Biotechnology.
[13] C. A. Andersen,et al. Prediction of human protein function from post-translational modifications and localization features. , 2002, Journal of molecular biology.
[14] M. Gerstein,et al. A Bayesian Networks Approach for Predicting Protein-Protein Interactions from Genomic Data , 2003, Science.
[15] M. Gerstein,et al. A Bayesian system integrating expression data with sequence patterns for localizing proteins: comprehensive application to the yeast genome. , 2000, Journal of molecular biology.
[16] B. Snel,et al. Comparative assessment of large-scale data sets of protein–protein interactions , 2002, Nature.
[17] Michael Ruogu Zhang,et al. Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization. , 1998, Molecular biology of the cell.
[18] Amanda Clare,et al. Machine learning of functional class from phenotype data , 2002, Bioinform..
[19] B. Schwikowski,et al. A network of protein–protein interactions in yeast , 2000, Nature Biotechnology.
[20] Kui Zhang,et al. Prediction of protein function using protein-protein interaction data , 2002, Proceedings. IEEE Computer Society Bioinformatics Conference.
[21] D. Botstein,et al. Cluster analysis and display of genome-wide expression patterns. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[22] William Stafford Noble,et al. Kernel methods for predicting protein-protein interactions , 2005, ISMB.
[23] M. Gerstein,et al. The relationship between protein structure and function: a comprehensive survey with application to the yeast genome. , 1999, Journal of molecular biology.
[24] Yael Mandel-Gutfreund,et al. Progress in Predicting Protein Function from Structure: Unique Features of O-Glycosidases , 2002, Pacific Symposium on Biocomputing.
[25] E. O’Shea,et al. Global analysis of protein localization in budding yeast , 2003, Nature.
[26] Thomas L. Madden,et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. , 1997, Nucleic acids research.
[27] M. Ashburner,et al. Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.
[28] Søren Brunak,et al. Prediction of Glycosylation Across the Human Proteome and the Correlation to Protein Function , 2001, Pacific Symposium on Biocomputing.