Data mining for bioinformatics
PREFACE The flourishing field of bioinformatics has been the catalyst to transform biological research paradigms to extend beyond traditional scientific boundaries. Fueled by technological advancements in data collection, storage and analysis technologies in biological sciences, researchers have beg...
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| Format: | eBook |
| Language: | Inglés |
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Boca Raton, Fla. :
CRC Press, Taylor & Francis Group
c2013.
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| Edition: | 1st edition |
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| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628573806719 |
Table of Contents:
- Front Cover; Contents; Preface; About the Authors; Chapter 1 - Introduction to Bioinformatics; Chapter 2 - Biological Databases and Integration; Chapter 3 - Knowledge Discovery in Databases; Chapter 4 - Feature Selection and Extraction Strategies in Data Mining; Chapter 5 - Feature Interpretation for Biological Learning; Chapter 6 - Clustering Techniques in Bioinformatics; Chapter 7 - Advanced Clustering Techniques; Chapter 8 - Classification Techniques in Bioinformatics; Chapter 9 - Validation and Benchmarking; Back Cover
