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Bioinformatics Using Computational Intelligence Paradigms (Studies in Fuzziness and Soft Computing) (Hardcover)

by U. Seiffert (Editor), L.C. Jain (Editor), P. Schweizer (Editor)
Key Phrases: weighted genes, absolute call values, saliency vectors, New York, Samuel Kaski, Neural Computation (more...)

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Editorial Reviews

Product Description

Bioinformatics as well as Computational Intelligence are undoubtedly remarkably fast growing fields of research and real-world applications with enormous potential for current and future developments.

Product Details

Hardcover: 216 pages
Publisher: Springer; 1 edition (March 14, 2005)
Language: English
ISBN-10: 3540229019
ISBN-13: 978-3540229018
Product Dimensions: 9.4 x 6.4 x 0.7 inches
Shipping Weight: 1 pounds (View shipping rates and policies)
Average Customer Review: No customer reviews yet. Be the first.
Amazon.com Sales Rank: #3,125,014 in Books (See Bestsellers in Books)

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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!

Inside This Book (learn more)

Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
weighted genes, absolute call values, saliency vectors, hypothesis margin, margin between the two classes, lymphoma data, microarray datasets, shrunken centroids, gene reduction, leukemia data, inertial model, splice site recognition, myeloma cases, mutant strain lacking, gene expression data, top genes, complete cds, gene regulatory networks, closest prototype, current problem situation, training round, virtual cell, simulated profiles, repair network, learning vector quantization

Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Samuel Kaski, Neural Computation, Day Mbtw, Number of Genes Fig, Cambridge University Press, International Conference, Journal of Computational Biology, Multiple-Layer Perceptrons, Nucleid Acid Research, High Throughput Screening, Rank Gene, Springer Verlag, University of California

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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!

Citations (learn more)

This book cites 42 books:

Statistical Learning Theory by Vladimir N. Vapnik on page 117, page 141, and page 164
Self-Organizing Maps by Teuvo Kohonen on page 4 (1), and page 4 (2)
Evolutionary Computation in Data Mining (Studies in Fuzziness and Soft Computing) by Ashish Ghosh in Front Matter
Intelligent Multimedia Processing with Soft Computing (Studies in Fuzziness and Soft Computing) by Yap-Peng Tan in Front Matter
Simulating Fuzzy Systems (Studies in Fuzziness and Soft Computing) by James J. Buckley in Front Matter

See all 42 books this book cites

8 books cite this book:

Intelligent Paradigms for Healthcare Enterprises: Systems Thinking (Studies in Fuzziness and Soft Computing) by Barry G. Silverman in Front Matter
Foundations and Advances in Data Mining (Studies in Fuzziness and Soft Computing) by Wesley Chu in Front Matter
Fuzzy Group Theory (Studies in Fuzziness and Soft Computing) by John N. Mordeson in Front Matter
Extending the Scalability of Linkage Learning Genetic Algorithms: Theory & Practice (Studies in Fuzziness and Soft Computing) by Ying-ping Chen in Front Matter
Rule-Based Evolutionary Online Learning Systems: A Principled Approach to LCS Analysis and Design (Studies in Fuzziness and Soft Computing) by Martin V. Butz in Front Matter

See all 8 books citing this book

Books on Related Topics (learn more)

Medical Informatics by Hsinchun Chen

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Data Analysis Tools for DNA Microarrays by Sorin Draghici

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The Analysis of Gene Expression Data by Giovanni Parmigiani

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Microarray Bioinformatics by Dov Stekel

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