Protein function prediction via graph kernels
暂无分享,去创建一个
Hans-Peter Kriegel | Alexander J. Smola | Cheng Soon Ong | S. V. N. Vishwanathan | Karsten M. Borgwardt | Stefan Schönauer | S. Vishwanathan | Alex Smola | K. Borgwardt | H. Kriegel | Stefan Schönauer
[1] A. I.,et al. Neural Field Continuum Limits and the Structure–Function Partitioning of Cognitive–Emotional Brain Networks , 2023, Biology.
[2] R. Grantham. Amino Acid Difference Formula to Help Explain Protein Evolution , 1974, Science.
[3] M. Charton,et al. The structural dependence of amino acid hydrophobicity parameters. , 1982, Journal of theoretical biology.
[4] H. Muirhead,et al. A specific, highly active malate dehydrogenase by redesign of a lactate dehydrogenase framework. , 1988, Science.
[5] L. Kier,et al. Amino acid side chain parameters for correlation studies in biology and pharmacology. , 2009, International journal of peptide and protein research.
[6] Thomas G. Dietterich,et al. In Advances in Neural Information Processing Systems 12 , 1991, NIPS 1991.
[7] O. Mangasarian,et al. Robust linear programming discrimination of two linearly inseparable sets , 1992 .
[8] H. Cid,et al. Hydrophobicity and structural classes in proteins. , 1992, Protein engineering.
[9] Remo Guidieri. Res , 1995, RES: Anthropology and Aesthetics.
[10] C Sander,et al. Mapping the Protein Universe , 1996, Science.
[11] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.
[12] Stephen P. Boyd,et al. Semidefinite Programming , 1996, SIAM Rev..
[13] Thomas L. Madden,et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. , 1997, Nucleic acids research.
[14] Alexander J. Smola,et al. Learning with kernels , 1998 .
[15] Hiroyuki Ogata,et al. AAindex: Amino Acid Index Database , 1999, Nucleic Acids Res..
[16] David Haussler,et al. Convolution kernels on discrete structures , 1999 .
[17] D. Eisenberg,et al. Assigning protein functions by comparative genome analysis: protein phylogenetic profiles. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[18] 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.
[19] T. N. Bhat,et al. The Protein Data Bank , 2000, Nucleic Acids Res..
[20] Ioannis Xenarios,et al. DIP: the Database of Interacting Proteins , 2000, Nucleic Acids Res..
[21] Katya Scheinberg,et al. Efficient SVM Training Using Low-Rank Kernel Representations , 2002, J. Mach. Learn. Res..
[22] Frances M. G. Pearl,et al. Quantifying the similarities within fold space. , 2002, Journal of molecular biology.
[23] Oleg V. Tsodikov,et al. Novel computer program for fast exact calculation of accessible and molecular surface areas and average surface curvature , 2002, J. Comput. Chem..
[24] John D. Lafferty,et al. Diffusion Kernels on Graphs and Other Discrete Input Spaces , 2002, ICML.
[25] Ioannis Xenarios,et al. DIP, the Database of Interacting Proteins: a research tool for studying cellular networks of protein interactions , 2002, Nucleic Acids Res..
[26] Risi Kondor,et al. Diffusion kernels on graphs and other discrete structures , 2002, ICML 2002.
[27] Alexander J. Smola,et al. Hyperkernels , 2002, NIPS.
[28] Mehryar Mohri,et al. Positive Definite Rational Kernels , 2003, COLT.
[29] Y. Z. Chen,et al. Protein function classification via support vector machine approach. , 2003, Mathematical biosciences.
[30] Hisashi Kashima,et al. Marginalized Kernels Between Labeled Graphs , 2003, ICML.
[31] J. Whisstock,et al. Prediction of protein function from protein sequence and structure , 2003, Quarterly Reviews of Biophysics.
[32] Alexander J. Smola,et al. Machine Learning with Hyperkernels , 2003, ICML.
[33] Thomas Gärtner,et al. On Graph Kernels: Hardness Results and Efficient Alternatives , 2003, COLT.
[34] Janet M Thornton,et al. Inferring protein function from structure. , 2003, Methods of biochemical analysis.
[35] L. Kavraki,et al. An accurate, sensitive, and scalable method to identify functional sites in protein structures. , 2003, Journal of molecular biology.
[36] Bernhard Schölkopf,et al. Kernel Methods in Computational Biology , 2005 .
[37] P. Dobson,et al. Distinguishing enzyme structures from non-enzymes without alignments. , 2003, Journal of molecular biology.
[38] Jie Liang,et al. CASTp: Computed Atlas of Surface Topography of proteins , 2003, Nucleic Acids Res..
[39] Frances M. G. Pearl,et al. The CATH domain structure database. , 2005, Methods of biochemical analysis.
[40] Y.Z. Chen,et al. Enzyme family classification by support vector machines , 2004, Proteins.
[41] Nello Cristianini,et al. A statistical framework for genomic data fusion , 2004, Bioinform..
[42] Antje Chang,et al. New Developments , 2003 .
[43] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[44] Tim J. P. Hubbard,et al. SCOP database in 2004: refinements integrate structure and sequence family data , 2004, Nucleic Acids Res..
[45] M. Moorhouse,et al. The Protein Databank , 2005 .
[46] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.