Data mining and applications in genomics
By: Sio-Iong Ao.
Series: Lecture notes in electrical engineering -- v. 25; Lecture notes in electrical engineering -- v. 25.
Publisher: Springer
Published: 2008
Place of publication: [New York]
Language: eng
Number of pages: 152
ISBN-13: 9781402089749
Subjects: Data mining; Algorithms; Genomics -- Data processing; Genomics -- statistics & numerical data; Computational Biology -- methods
Description: "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.
Notes: Includes bibliographical references (p. 141-152).