An efficient strategy for extensive integration of diverse biological data for protein function prediction
暂无分享,去创建一个
Limsoon Wong | Wing-Kin Sung | Hon Nian Chua | L. Wong | W. Sung | H. Chua
[1] Ting Chen,et al. An Integrated Probabilistic Model for Functional Prediction of Proteins , 2004, J. Comput. Biol..
[2] A. Owen,et al. A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae) , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[3] M. Ashburner,et al. Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.
[4] Stanley Letovsky,et al. Predicting protein function from protein/protein interaction data: a probabilistic approach , 2003, ISMB.
[5] Alessandro Vespignani,et al. Global protein function prediction from protein-protein interaction networks , 2003, Nature Biotechnology.
[6] Shailesh V. Date,et al. A Probabilistic Functional Network of Yeast Genes , 2004, Science.
[7] 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.
[8] Dong Xu,et al. Global protein function annotation through mining genome-scale data in yeast Saccharomyces cerevisiae. , 2004, Nucleic acids research.
[9] S. Kasif,et al. Whole-genome annotation by using evidence integration in functional-linkage networks. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[10] 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.
[11] B. Snel,et al. STRING: a web-server to retrieve and display the repeatedly occurring neighbourhood of a gene. , 2000, Nucleic acids research.
[12] Mike Tyers,et al. The GRID: The General Repository for Interaction Datasets , 2003, Genome Biology.
[13] Yinghui Li,et al. Genome wide prediction of protein function via a generic knowledge discovery approach based on evidence integration , 2006, BMC Bioinformatics.
[14] C. A. Andersen,et al. Prediction of human protein function from post-translational modifications and localization features. , 2002, Journal of molecular biology.
[15] Nello Cristianini,et al. Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast , 2003, Pacific Symposium on Biocomputing.
[16] Limsoon Wong,et al. Exploiting indirect neighbours and topological weight to predict protein function from protein--protein interactions , 2006 .
[17] Carl J. Schmidt,et al. GoFigure: Automated Gene OntologyTM annotation , 2003, Bioinform..
[18] E. Myers,et al. Basic local alignment search tool. , 1990, Journal of molecular biology.
[19] Yudong D. He,et al. Functional Discovery via a Compendium of Expression Profiles , 2000, Cell.
[20] Michael Gribskov,et al. Use of Receiver Operating Characteristic (ROC) Analysis to Evaluate Sequence Matching , 1996, Comput. Chem..
[21] Bernhard Schölkopf,et al. Fast protein classification with multiple networks , 2005, ECCB/JBI.
[22] Simon Kasif,et al. The art of gene function prediction , 2006, Nature Biotechnology.
[23] W. Wong,et al. Transitive functional annotation by shortest-path analysis of gene expression data , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[24] Geoffrey J. Barton,et al. GOtcha: a new method for prediction of protein function assessed by the annotation of seven genomes , 2004, BMC Bioinformatics.