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Fundamentals Of Data Mining In Genomics And Proteomics
This book aims to present state-of-the-art analytical methods from statistics and data mining for the analysis of high-throughput data from genomics and proteomics. Research and development in genomics and proteomics depend on the analysis and interpretation of large amounts of data generated by hig...
| Príomhúdar: | |
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| Formáid: | Printed Book |
| Foilsithe: |
Springer
2000
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| Eagrán: | International Edition (Paperback) |
| Ábhair: |
| LEADER | 01612nam a2200169Ia 4500 | ||
|---|---|---|---|
| 999 | |c 28200 |d 28200 | ||
| 020 | |a 9788184891911 | ||
| 082 | |a 572.8633 FUN. | ||
| 100 | |a Werner Dubitzky; Martin Granzow;Daniel P Berrar | ||
| 245 | |a Fundamentals Of Data Mining In Genomics And Proteomics | ||
| 250 | |a International Edition (Paperback) | ||
| 260 | |b Springer |c 2000 | ||
| 300 | |a xix, 281 pages: illustrations | ||
| 520 | |a This book aims to present state-of-the-art analytical methods from statistics and data mining for the analysis of high-throughput data from genomics and proteomics. Research and development in genomics and proteomics depend on the analysis and interpretation of large amounts of data generated by high-throughput techniques. To exploit data obtained from experimental and observational studies, life scientists need to understand the analytical techniques and methods from statistics and data mining. These techniques are not easily accessible to life scientists working on genomics and proteomics problems, as the available material is presented from a highly mathematical perspective, favoring formal rigor over conceptual clarity and assessment of practical relevance. This book addresses these issues by adopting an approach focusing on concepts and applications. It presents key analytical techniques for the analysis of genomics and proteomics data by detailing their underlying principles, merits and limitations. | ||
| 650 | |a DNA microarrays. | ||
| 942 | |c BK | ||
| 952 | |0 0 |1 0 |4 0 |6 572_863300000000000_FUN |7 0 |9 30862 |a DCB |b DCB |d 2015-09-01 |l 0 |o 572.8633 FUN |p DCB1640 |r 2015-09-01 |w 2019-07-19 |y BK | ||