Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency
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Chris H. Q. Ding | Hua Wang | Heng Huang | C. Ding | Hua Wang | Heng Huang
[1] Mona Singh,et al. Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps , 2005, ISMB.
[2] Limsoon Wong,et al. Using indirect protein interactions for the prediction of Gene Ontology functions , 2007, BMC Bioinformatics.
[3] Giorgio Valle,et al. The Gene Ontology project in 2008 , 2007, Nucleic Acids Res..
[4] Feiping Nie,et al. Dyadic transfer learning for cross-domain image classification , 2011, 2011 International Conference on Computer Vision.
[5] Dmitrij Frishman,et al. MIPS: a database for genomes and protein sequences , 1999, Nucleic Acids Res..
[6] Chris H. Q. Ding,et al. Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations , 2013, IJCAI.
[7] Chris H. Q. Ding,et al. Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization , 2011, CIKM '11.
[8] Jieping Ye,et al. Adaptive diffusion kernel learning from biological networks for protein function prediction , 2008, BMC Bioinformatics.
[9] Nello Cristianini,et al. Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast , 2003, Pacific Symposium on Biocomputing.
[10] Thomas S. Huang,et al. Graph Regularized Nonnegative Matrix Factorization for Data Representation. , 2011, IEEE transactions on pattern analysis and machine intelligence.
[11] William Stafford Noble,et al. Learning kernels from biological networks by maximizing entropy , 2004, ISMB/ECCB.
[12] Feiping Nie,et al. Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization , 2012, RECOMB.
[13] Andreas Martin Lisewski,et al. Graph sharpening plus graph integration: a synergy that improves protein functional classification , 2007, Bioinform..
[14] Jason Weston,et al. Protein ranking: from local to global structure in the protein similarity network. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[15] Jiawei Han,et al. Non-negative Matrix Factorization on Manifold , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[16] Alessandro Vespignani,et al. Global protein function prediction from protein-protein interaction networks , 2003, Nature Biotechnology.
[17] Xiaoyu Jiang,et al. Integration of relational and hierarchical network information for protein function prediction , 2008, BMC Bioinformatics.
[18] Chris H. Q. Ding,et al. Multi-label Linear Discriminant Analysis , 2010, ECCV.
[19] T. Takagi,et al. Assessment of prediction accuracy of protein function from protein–protein interaction data , 2001, Yeast.
[20] Simon Kasif,et al. Biological Process Linkage Networks , 2009, PloS one.
[21] Fillia Makedon,et al. Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering , 2011, IJCAI.
[22] Feiping Nie,et al. Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation , 2011, 2011 IEEE 11th International Conference on Data Mining.
[23] Limsoon Wong,et al. Exploiting Indirect Neighbours and Topological Weight to Predict Protein Function from Protein-Protein Interactions , 2006, BioDM.
[24] R. A. Leibler,et al. On Information and Sufficiency , 1951 .
[25] Chris H. Q. Ding,et al. Multi-label Feature Transform for Image Classifications , 2010, ECCV.
[26] Chris H. Q. Ding,et al. Image annotation using bi-relational graph of images and semantic labels , 2011, CVPR 2011.
[27] Chris H. Q. Ding,et al. Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).
[28] Mike Tyers,et al. BioGRID: a general repository for interaction datasets , 2005, Nucleic Acids Res..
[29] Aidong Zhang,et al. A topological measurement for weighted protein interaction network , 2005, 2005 IEEE Computational Systems Bioinformatics Conference (CSB'05).
[30] Chris H. Q. Ding,et al. Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks , 2012, RECOMB.
[31] Lei Shi,et al. ANN Based Protein Function Prediction Using Integrated Protein-Protein Interaction Data , 2009, 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing.
[32] Chris H. Q. Ding,et al. Orthogonal nonnegative matrix t-factorizations for clustering , 2006, KDD '06.
[33] J. Whisstock,et al. Prediction of protein function from protein sequence and structure , 2003, Quarterly Reviews of Biophysics.
[34] B. Schwikowski,et al. A network of protein–protein interactions in yeast , 2000, Nature Biotechnology.
[35] Chris H. Q. Ding,et al. Convex and Semi-Nonnegative Matrix Factorizations , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[36] Chris H. Q. Ding,et al. Image annotation using multi-label correlated Green's function , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[37] 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.
[38] Quanquan Gu,et al. Co-clustering on manifolds , 2009, KDD.
[39] David L. Wheeler,et al. GenBank , 2015, Nucleic Acids Res..
[40] R. Sharan,et al. Network-based prediction of protein function , 2007, Molecular systems biology.