000 03392nam a22005415i 4500
001 978-1-4020-8975-6
003 DE-He213
005 20161121230714.0
007 cr nn 008mamaa
008 100301s2008 ne | s |||| 0|eng d
020 _a9781402089756
_9978-1-4020-8975-6
024 7 _a10.1007/978-1-4020-8975-6
_2doi
050 4 _aQA76.9.D343
072 7 _aUNF
_2bicssc
072 7 _aUYQE
_2bicssc
072 7 _aCOM021030
_2bisacsh
082 0 4 _a006.312
_223
100 1 _aAo, Sio-Iong.
_eauthor.
245 1 0 _aData Mining and Applications in Genomics
_h[electronic resource] /
_cby Sio-Iong Ao.
264 1 _aDordrecht :
_bSpringer Netherlands,
_c2008.
300 _aXII, 152 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Electrical Engineering,
_x1876-1100 ;
_v25
505 0 _aData 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.
520 _aData 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.
650 0 _aComputer science.
650 0 _aHuman genetics.
650 0 _aData mining.
650 0 _aBioinformatics.
650 0 _aElectronics.
650 0 _aMicroelectronics.
650 1 4 _aComputer Science.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aHuman Genetics.
650 2 4 _aComputational Biology/Bioinformatics.
650 2 4 _aBioinformatics.
650 2 4 _aElectronics and Microelectronics, Instrumentation.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781402089749
830 0 _aLecture Notes in Electrical Engineering,
_x1876-1100 ;
_v25
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4020-8975-6
912 _aZDB-2-SCS
950 _aComputer Science (Springer-11645)
999 _c502755
_d502755