Overview
- With comprehensive introductory chapter to the data mining techniques
- With detailed descriptions of some current genomic problems
- With detailed descriptions of some tailor-made data mining algorithms for specific genomic problems
- With frontier case studies based on the recent and current works at the top universities
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 25)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Data Mining and Applications in Genomics
Authors: Sio-Iong Ao
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-1-4020-8975-6
Publisher: Springer Dordrecht
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Science+Business Media B.V. 2008
Hardcover ISBN: 978-1-4020-8974-9Published: 15 October 2008
Softcover ISBN: 978-90-481-8040-0Published: 28 October 2010
eBook ISBN: 978-1-4020-8975-6Published: 25 September 2008
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XII, 152
Topics: Data Mining and Knowledge Discovery, Human Genetics, Computational Biology/Bioinformatics, Bioinformatics, Electronics and Microelectronics, Instrumentation