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Data Mining and Applications in Genomics 

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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. Data Mining and Applications in Genomics offers state of the art of tremendous advances in data mining algorithms and applications in genomics and also serves as an excellent reference work for researchers and graduate students working on data mining algorithms and applications in genomics.

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Inhaltsverzeichnis

Data Mining Algorithms.- Advances in Genomic Experiment Techniques.- Case Study I: Hierarchical Clustering and Graph Algorithms for Tag-SNP Selection.- Case Study II: Constrained Unidimensional Scaling for Linkage Disequilibrium Maps.- Case Study III: Hybrid PCA-NN Algorithms for Continuous Microarray Time Series.- Discussions and Future Data Mining Projects.
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Sprache Englisch ● Format PDF ● Seiten 152 ● ISBN 9781402089756 ● Dateigröße 3.4 MB ● Verlag Springer Netherland ● Ort Dordrecht ● Land NL ● Erscheinungsjahr 2008 ● herunterladbar 24 Monate ● Währung EUR ● ID 2148963 ● Kopierschutz Soziales DRM

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