Feature Selection for Cancer Classification: A dissemination Report Containing A Novel Feature Selection Approach - Softcover
Synopsis
Feature selection for cancer classification contains a novel approach for feature selection for cancer microarray data using signal-to-noise ratio approach and t-statistics. It starts with a through overview of the concepts of gene expression data and feature selection approaches for cancer data sets. It then connects these concepts and applies them to the study of various literature and list out the approaches used and their limitations and advantages. Key features include; 1. A brief introduction on microarray data 2. Different feature selection approaches available in the literature are described 3. Provides proposed feature selection approach 4. Experimental evaluation and result analysis for different cancer data sets after classification.
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About the Author
Assistant ProfessorDepartment of computer science and EngineeringTrident Academy of TechnologyBiju Patnaik University of Technology, Bhuabneswar, Odisha, India,
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Feature Selection for Cancer Classification
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LAP LAMBERT Academic Publishing Mrz 2012, 2012
ISBN 10: 3848447533
ISBN 13: 9783848447534
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Feature selection for cancer classification contains a novel approach for feature selection for cancer microarray data using signal-to-noise ratio approach and t-statistics. It starts with a through overview of the concepts of gene expression data and feature selection approaches for cancer data sets. It then connects these concepts and applies them to the study of various literature and list out the approaches used and their limitations and advantages. Key features include; 1. A brief introduction on microarray data 2. Different feature selection approaches available in the literature are described 3. Provides proposed feature selection approach 4. Experimental evaluation and result analysis for different cancer data sets after classification. 140 pp. Englisch. Seller Inventory # 9783848447534
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Feature Selection for Cancer Classification
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sahu BarnaliAssistant ProfessorDepartment of computer science and EngineeringTrident Academy of TechnologyBiju Patnaik University of Technology, Bhuabneswar, Odisha, India,Feature selection for cancer classification contains a no. Seller Inventory # 5522887
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Feature Selection for Cancer Classification
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LAP LAMBERT Academic Publishing Mär 2012, 2012
ISBN 10: 3848447533
ISBN 13: 9783848447534
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Taschenbuch. Condition: Neu. Neuware -Feature selection for cancer classification contains a novel approach for feature selection for cancer microarray data using signal-to-noise ratio approach and t-statistics. It starts with a through overview of the concepts of gene expression data and feature selection approaches for cancer data sets. It then connects these concepts and applies them to the study of various literature and list out the approaches used and their limitations and advantages. Key features include; 1. A brief introduction on microarray data 2. Different feature selection approaches available in the literature are described 3. Provides proposed feature selection approach 4. Experimental evaluation and result analysis for different cancer data sets after classification.Books on Demand GmbH, Überseering 33, 22297 Hamburg 140 pp. Englisch. Seller Inventory # 9783848447534
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Feature Selection for Cancer Classification : A dissemination Report Containing A Novel Feature Selection Approach
Published by
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848447533
ISBN 13: 9783848447534
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Feature selection for cancer classification contains a novel approach for feature selection for cancer microarray data using signal-to-noise ratio approach and t-statistics. It starts with a through overview of the concepts of gene expression data and feature selection approaches for cancer data sets. It then connects these concepts and applies them to the study of various literature and list out the approaches used and their limitations and advantages. Key features include; 1. A brief introduction on microarray data 2. Different feature selection approaches available in the literature are described 3. Provides proposed feature selection approach 4. Experimental evaluation and result analysis for different cancer data sets after classification. Seller Inventory # 9783848447534
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Feature Selection for Cancer Classification: A dissemination Report Containing A Novel Feature Selection Approach
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ISBN 13: 9783848447534
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