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Scalable pattern recognition algorithms : applications in computational biology and bioinformatics

Author: Pradipta Maji; Sushmita Paul
Publisher: Cham ; New York : Springer, 2014.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
Recent advances in high-throughput technologies have resulted in a deluge of biological information. Yet the storage, analysis, and interpretation of such multifaceted data require effective and efficient computational tools. This unique text/reference addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Scalable Pattern Recognition Algorithms
(OCoLC)870987685
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Pradipta Maji; Sushmita Paul
ISBN: 9783319056302 3319056301
OCLC Number: 874855286
Description: 1 online resource.
Contents: Introduction to Pattern Recognition and Bioinformatics --
Part I Classification --
Neural Network Tree for Identification of Splice Junction and Protein Coding Region in DNA --
Design of String Kernel to Predict Protein Functional Sites Using Kernel-Based Classifiers --
Part II Feature Selection --
Rough Sets for Selection of Molecular Descriptors to Predict Biological Activity of Molecules --
f -Information Measures for Selection of Discriminative Genes from Microarray Data --
Identification of Disease Genes Using Gene Expression and Protein-Protein Interaction Data --
Rough Sets for Insilico Identification of Differentially Expressed miRNAs --
Part III Clustering --
Grouping Functionally Similar Genes from Microarray Data Using Rough-Fuzzy Clustering --
Mutual Information Based Supervised Attribute Clustering for Microarray Sample Classification --
Possibilistic Biclustering for Discovering Value-Coherent Overlapping d -Biclusters --
Fuzzy Measures and Weighted Co-Occurrence Matrix for Segmentation of Brain MR Images.
Responsibility: Pradipta Maji, Sushmita Paul.

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From the book reviews: "This book provides unique insights into how various soft computing and machine learning methods can be formulated and used in building efficient pattern recognition models. Read more...

 
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