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Data Mining in Bioinformatics (Advanced Information and Knowledge Processing) [Hardcover]

Jason T. L. Wang (Editor), Mohammed J. Zaki (Editor), Hannu Toivonen (Editor), Dennis E. Shasha (Editor)

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Book Description

Series: Advanced Information and Knowledge Processing | Publication Date: September 17, 2004

Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.

#outer_postBodyPS { display: none; } #psGradient { display: none; } #psPlaceHolder { display: none; } #psExpand { display: none; } Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.

Product Details

Hardcover: 351 pages
Publisher: Springer; 1st Edition. edition (September 17, 2004)
Language: English
ISBN-10: 1852336714
ISBN-13: 978-1852336714
Product Dimensions: 9.3 x 6.3 x 0.9 inches
Shipping Weight: 1 pounds (View shipping rates and policies)
Amazon Best Sellers Rank: #2,422,861 in Books (See Top 100 in Books)

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Inside This Book (learn more)

Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
subcellular location patterns, biodata analysis, scalable index structures, subcellular location features, antipole tree, mining chemical compounds, antipole clustering, subcellular location tree, geometric subgraphs, extended edit distance, spatiotemporal traces, given query predicate, protein subcellular location, segment selectivities, phylogenetic database, edit alignment, haplotype pattern mining, protein ids, topological subgraph, fluorescence microscope images, data quality metrics, data mining perspective, selective predicate, complex histogram, frequent subgraphs

Key Phrases - Capitalized Phrases (CAPs): (learn more)
Systematics of Protein Subcellular Location, Protein Secondary Structures, Survey of Biodata Analysis, Piecewise Constant Modeling of Sequential Data, Predicting Protein Folding Pathways, Monte Carlo, Bioinformatics Table, Protein Data Bank

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Citations (learn more)

This book cites 50 books:

Data Mining: Concepts and Techniques, Second Edition (The Morgan Kaufmann Series in Data Management Systems) by Jiawei Han in Back Matter (1), and Back Matter (2)
Information Visualization by Robert Spence in Back Matter (1), and Back Matter (2)
Exploratory Data Mining and Data Cleaning by Tamraparni Dasu in Back Matter
Statistical Methods in Bioinformatics: An Introduction (Statistics for Biology and Health) by Warren J. Ewens in Back Matter
Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (The Morgan Kaufmann Series in Data Management Systems) by Ian H. Witten in Back Matter

See all 50 books this book cites

23 books cite this book:

Mining Graph Data by Diane J. Cook on page 113, page 155, and page 181
Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling by Praveen Kumar on page 278, and page 341
Intelligence and Security Informatics: IEEE International Conference on Intelligence and Security Informatics, ISI 2005, Atlanta, GA, USA, May 19-20, ... Applications, incl. Internet/Web, and HCI) by Paul Kantor on page 529
Hebbian Learning and Negative Feedback Networks (Advanced Information and Knowledge Processing) by Colin Fyfe in Copyright
Creating Web-based Laboratories (Advanced Information and Knowledge Processing) by C.C. Ko in Front Matter

See all 23 books citing this book

Books on Related Topics (learn more)

Computational Biology and Genome Informatics by Cathy H. Wu

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