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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 and computational intelligence are undoubtedly remarkably fast growing fields of research and real-world applications with enormous potential for current and future developments. Bioinformatics Using Computational Intelligence Paradigms contains recent theoretical approaches and guiding applications of biologically inspired information processing systems (computational intelligence) against the background of bioinformatics. This carefully edited monograph combines the latest results of bioinformatics and computational intelligence, and offers promising cross-fertilization and interdisciplinary work between these growing fields.

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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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This book cites 42 books:
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