| 000 | 02711cam a22002775a 4500 | ||
|---|---|---|---|
| 008 | 100301s2005 ii a b 001 0 eng | ||
| 020 | _a 9788181285323 | ||
| 020 | _a 8181285328 | ||
| 035 | _a(Sirsi) u4145 | ||
| 040 |
_a EG-CaNU _c EG-CaNU _d EG-CaNU |
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| 042 | _a ncode | ||
| 082 | 0 | 0 |
_a 572.802856312 _2 22 |
| 245 | 0 | 0 |
_a Data mining in bioinformatics / _c Jason T.L. Wang ... [et al.]. |
| 260 |
_a New Delhi : _b Springer, _c 2005. |
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| 300 |
_a xi, 340 p. : _b ill. ; _c 21 cm. |
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| 504 | _a Includes bibliographical references (p. [303]-326) and index. | ||
| 505 | 0 | _a Overview An Introduction to Data Mining in Bioinformatics A Survey of Bio-Data Analysis from Data Mining Perspective -- Sequence and Structure Alignment ANTICLUSTRAL: Multiple Sequence Alignment by Antipole Clustering RNA Structyre Comparison and Alignment Part -- Biological Data Mining Piecewise Constant Modeling of Sequential Data using Reversible Jump Markov Chain Monte Carlo Gene Mapping by Pattern Discovery Prediciting Protein Folding Pathways Data Mining Methods for a Systematics of Protein Subcellular Location Mining Chemical Compounds -- Biological Data Managment Phyloinformatics: Towards a Phylogenetic Database Declarative and Efficinet Querying on Protein Secondary Sturctures Scalable Index Structures for Biological Data Glossary References Biographies Index. | |
| 520 | _aThe goal of this book is to help readers understand state-of-the-art techniques in biological data mining and data management and includes topics such as: - preprocessing tasks such as data cleaning and data integration as applied to biological data - classification and clustering techniques for microarrays - comparison of RNA structures based on string properties and energetics - discovery of the sequence characteristics of different parts of the genome - mining of haplotypes to find disease markers - sequencing of events leading to the folding of a protein - inference of the subcellular location of protein activity - classification of chemical compounds based on structure - special purpose metrics and index structures for phylogenetic applications - a new query language for protein searching based on the shape of proteins - very fast indexing schemes for sequences and pathways Aimed at computer scientists, necessary biology is explained. | ||
| 630 |
_aData Mining _91367 |
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| 650 | 0 |
_a Bioinformatics. _98202 |
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| 650 | 0 |
_a Data mining. _98203 |
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| 700 | 1 |
_aWang, Jason T. L. _9240 |
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| 596 | _a1 | ||
| 999 |
_c3143 _d3143 |
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