Data mining for bioinformatics
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 applicati...
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| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Boca Raton, FL
CRC Press
2013
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| Subjects: | |
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| 100 | 1 | |a Dua, Summet |e author | |
| 245 | 1 | 0 | |a Data mining for bioinformatics |c Sumeet Dua, Pradeep Chowriappa |
| 264 | 1 | |a Boca Raton, FL |b CRC Press |c 2013 | |
| 264 | 4 | |c ©2013 | |
| 300 | |a xix, 317 pages |b illustrations |c 24 cm | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index | ||
| 505 | 0 | |a Sect.1 .Introduction to Bioinformatics -- Biological Databases and Integration --Knowledge Discovery in Databases -- Sect. 2. Feature Selection and Extraction Strategies in Data Mining -- Feature Interpretation for Biological Learning -- Sect. 3. Clustering Techniques in Bioinformatics -- Advanced Clustering Techniques -- Sect. 4. Classification Techniques in Bioinformatics -- Validation and Benchmarking | |
| 520 | |a 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. | ||
| 592 | |a PI-00160 |b 15/10/14 |c RM 338.10 |d RIMA | ||
| 650 | 0 | |a Bioinformatics | |
| 650 | 0 | |a Data mining | |
| 700 | 1 | |a Chowriappa, Pradeep |e author | |
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