000 | 03392nam a22005415i 4500 | ||
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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 |
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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 |