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Striking Similarities in Diverse Telomerase Proteins Revealed by Combining Structure Prediction and Machine Learning Approaches.

J. Lee, M. Hamilton, C. Gleeson, C. Caragea, P. Zaback, J. Sander, L. Xue, F. Wu, M. Terribilini, V. Honavar, and D. Dobbs. Pacific Symposium on Biocomputing, page 501-512. World Scientific, (2008)

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Discovering Protein Function Classification Rules from Reduced Alphabet Representations of Protein Sequences.C. Andorf, D. Dobbs, and V. Honavar. JCIS, page 1200-1206. JCIS / Association for Intelligent Machinery, Inc., (2002)m-Transportability: Transportability of a Causal Effect from Multiple Environments.S. Lee, and V. Honavar. AAAI, AAAI Press, (2013)Experiments in Evolutionary Synthesis of Robotic Neurocontrollers.K. Balakrishnan, and V. Honavar. AAAI/IAAI, Vol. 2, page 1378. AAAI Press / The MIT Press, (1996)0-262-51091-X.Towards Semantics-Enabled Distributed Infrastructure for Knowledge Acquisition.V. Honavar, and D. Caragea. AAAI Spring Symposium: Semantic Scientific Knowledge Integration, page 29-35. AAAI, (2008)Generation of Attribute Value Taxonomies from Data for Data-Driven Construction of Accurate and Compact Classifiers.D. Kang, A. Silvescu, J. Zhang, and V. Honavar. ICDM, page 130-137. IEEE Computer Society, (2004)Constructive Neural Network Learning Algorithms.R. Parekh, J. Yang, and V. Honavar. AAAI/IAAI, Vol. 2, page 1398. AAAI Press / The MIT Press, (1996)0-262-51091-X.Privacy-Preserving Reasoning on the SemanticWeb.J. Bao, G. Slutzki, and V. Honavar. Web Intelligence, page 791-797. IEEE Computer Society, (2007)Coordination and control structures and processes: possibilities for connectionist networks (CN).V. Honavar, and L. Uhr. J. Exp. Theor. Artif. Intell., 2 (4): 277-302 (1990)Condition Data Aggregation with Application to Failure Rate Calculation of Power Transformers.J. Pathak, Y. Jiang, V. Honavar, and J. McCalley. HICSS, IEEE Computer Society, (2006)Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.O. Yakhnenko, and V. Honavar. SDM, page 283-293. SIAM, (2009)

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Striking Similarities in Diverse Telomerase Proteins Revealed by Combining Structure Prediction and Machine Learning Approaches.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Striking Similarities in Diverse Telomerase Proteins Revealed by Combining Structure Prediction and Machine Learning Approaches.

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Striking Similarities in Diverse Telomerase Proteins Revealed by Combining Structure Prediction and Machine Learning Approaches.