|Data mining for bioinformatics|
|Dua, S.; Chowriappa, P. (2012). Data mining for bioinformatics. CRC Press: Boca Raton. ISBN 978-0-8493-2801-5. 328 pp.|
|Available in|| Authors |
VLIZ: Techniques and Equipment TEC14 
Bioinformatics; Data mining
Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics. It supplies a broad, yet in-depth, overview of the application domains of data mining for bioinformatics to help readers from both biology and computer science backgrounds gain an enhanced understanding of this cross-disciplinary field. The book offers authoritative coverage of data mining techniques, technologies, and frameworks used for storing, analyzing, and extracting knowledge from large databases in the bioinformatics domains, including genomics and proteomics. It begins by describing the evolution of bioinformatics and highlighting the challenges that can be addressed using data mining techniques.