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"Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford. It provides a systematic introduction to the use of data mining algorithms as an investigative tool for applications in genomics. Topics covered include Genomic Techniques, Single Nucleotide Polymorphisms, Disease Studies, HapMap Project, Haplotypes, Tag-SNP Selection, Linkage Disequilibrium Map, Gene Regulatory Networks, Dimension Reduction, Feature Selection, Feature Extraction, Principal Component Analysis, Independent Component Analysis, Machine Learning Algorithms, Hybrid Intelligent Techniques, Clustering Algorithms, Graph Algorithms, Numerical Optimization Algorithms, Data Mining Software Comparison, Medical Case Studies, Bioinformatics Projects, and Medical Applications." "Data Mining and Applications in Genomics offers state of the art of tremendous advances in data mining algorithms and applications in genomics and also serve as an excellent reference work for researchers and graduate students working on data mining algorithms and applications in genomics."--BOOK JACKET.
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Data Mining and Applications in Genomics
2010, Springer Netherlands
in English
9048180406 9789048180400
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Includes bibliographical references (p. 141-152).
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- Created November 24, 2009
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May 13, 2020 | Edited by CoverBot | Added new cover |
July 29, 2014 | Edited by ImportBot | import new book |
April 6, 2014 | Edited by ImportBot | Added IA ID. |
March 20, 2010 | Edited by WorkBot | add editions to new work |
November 24, 2009 | Created by ImportBot | Imported from Library of Congress MARC record |