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Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications: 05 (Wiley Series in Bioinformatics)
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2007, ISBN: 9780471777960

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Editor: Pan, Yi, Editor: Hu, Xiaohua, Wiley-Interscience, Hardcover, Auflage: 1, 416 Seiten, Publiziert: 2007-07-06T00:00:01Z, Produktgruppe: Book, Hersteller-Nr.: YES2205280, 0.7 kg, Ver… Mehr…

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2007, ISBN: 9780471777960

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Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications (Wiley Series in Bioinformatics). - gebunden oder broschiert

2007

ISBN: 9780471777960

400 S., Hardcover. Like new. Shrink wrapped. / Wie neu. In Folie verschweißt. Versandkostenfreie Lieferung, [PU:Wiley-Interscience,]

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Knowledge Discovery In Bioinformatics: Techniques, Methods, And Applications - gebunden oder broschiert

2007, ISBN: 047177796X

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Xiaohua, Hu and Pan, Yi (Eds.):
Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications (Wiley Series in Bioinformatics). - gebunden oder broschiert

ISBN: 9780471777960

400 S., Hardcover., [PU: Wiley]

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Details zum Buch
Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications: 05 (Wiley Series in Bioinformatics)

Wiley Series on Bioinformatics: Computational Techniques and Engineering Discover how data mining is fueling new discoveries in bioinformatics As the field of bioinformatics continues to flourish, producing enormous amounts of new data, the need for sophisticated methods of data mining to better manage and extract meaning from bioinformatics data has grown tremendously. This pioneering text brings together an unparalleled group of leading experts in both data mining and bioinformatics. These experts present a broad range of novel methods, techniques, and applications of data mining for the analysis and management of bioinformatics data sets. Among the topics covered are: * RNA and protein structure analysis * DNA computing * Sequence mapping and genome comparison * Gene expression data mining * Metabolic network modeling * Phyloinformatics * Biomedical literature data mining * Biological data integration and searching For each topic, readers get an inside perspective into the latest research-what works and what doesn't and where additional research and development is needed. References to the primary literature facilitate further in-depth research. Data mining in bioinformatics holds the promise of solving such fundamental problems as protein structure, gene finding, data retrieval, and integration. This text is therefore essential reading for all researchers in bioinformatics, pointing them to new methods and techniques that may be the key to new and important discoveries.

Detailangaben zum Buch - Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications: 05 (Wiley Series in Bioinformatics)


EAN (ISBN-13): 9780471777960
ISBN (ISBN-10): 047177796X
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2007
Herausgeber: Wiley-Interscience
363 Seiten
Gewicht: 0,703 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-06-06T23:17:38+02:00 (Berlin)
Detailseite zuletzt geändert am 2023-11-10T20:44:23+01:00 (Berlin)
ISBN/EAN: 047177796X

ISBN - alternative Schreibweisen:
0-471-77796-X, 978-0-471-77796-0
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: pan
Titel des Buches: pan, bioinformatics, discover, methods discovery, xiaohua, knowledge discovery


Daten vom Verlag:

Autor/in: Xiaohua Hu; Yi Pan
Titel: Wiley Series in Bioinformatics; Knowledge Discovery in Bioinformatics - Techniques, Methods, and Applications
Verlag: John Wiley & Sons
364 Seiten
Erscheinungsjahr: 2007-07-06
Gewicht: 0,705 kg
Sprache: Englisch
125,00 € (DE)
No longer receiving updates
164mm x 241mm x 24mm

BB; gebunden; Hardcover, Softcover / Informatik, EDV/Informatik; Data Mining; Statistik; Biowissenschaften; Computer Science; Statistics; Bioinformatics & Computational Biology; Bioinformatik; Data Mining & Knowledge Discovery; Life Sciences; Bioinformatik u. Computersimulationen in der Biowissenschaften; Informatik; Data Mining u. Knowledge Discovery; Data Mining; Data Mining Statistics; Data Mining; Bioinformatik u. Computersimulationen in der Biowissenschaften; Data Mining u. Knowledge Discovery

Contributors. Preface. 1 Current Methods for Protein Secondary-Structure Prediction Based on Support Vector Machines (Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, and Yi Pan). 2 Comparison of Seven Methods for Mining Hidden Links (Xiaohua Hu, Xiaodan Zhang, and Xiaohua Zhou). 3 Voting Scheme-Based Evolutionary Kernel Machines for Drug Activity Comparisons (Bo Jin and Yan-Qing Zhang). 4 Bioinformatics Analyses of Arabidopsis thaliana Tiling Array Expression Data (Trupti Joshi, Jinrong Wan, Curtis J. Palm, Kara Juneau, Ron Davis, Audrey Southwick, Katrina M. Ramonell, Gary Stacey, and Dong Xu). 5 Identification of Marker Genes from High-Dimensional Microarray Data for Cancer Classification (Jiexun Li, Hua Su, and Hsinchun Chen). 6 Patient Survival Prediction from Gene Expression Data (Huiqing Liu, Limsoon Wong, and Ying Xu). 7 RNA Interference and microRNA (Shibin Qiu and Terran Lane). 8 Protein Structure Prediction Using String Kernels (Huzefa Rangwala, Kevin DeRonne, and George Karypis). 9 Public Genomic Databases: Data Representation, Storage, and Access (Andrew Robinson, Wenny Rahayu, and David Taniar). 10 Automatic Query Expansion with Keyphrases and POS Phrase Categorization for Effective Biomedical Text Mining (Min Song and Il-Yeol Song). 11 Evolutionary Dynamics of Protein-Protein Interactions (L. S. Swapna, B. Offmann, and N. Srinivasan). 12 On Comparing and Visualizing RNA Secondary Structures (Jason T. L. Wang, Dongrong Wen, and Jianghui Liu). 13 Integrative Analysis of Yeast Protein Translation Networks (Daniel D. Wu and Xiaohua Hu). 14 Identification of Transmembrane Proteins Using Variants of the Self-Organizing Feature Map Algorithm (Mary Qu Yang, Jack Y. Yang, and Craig W. Codrington). 15 TRICLUSTER: Mining Coherent Clusters in Three-Dimensional Microarray Data (Lizhuang Zhao and Mohammed J. Zaki). 16 Clustering Methods in a Protein-Protein Interaction Network (Chuan Lin, Young-Rae Cho, Woo-Chang Hwang, Pengjun Pei, and Aidong Zhang). References. Index.

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