Feature Selection for Cancer Classification: A dissemination Report Containing A Novel Feature Selection Approach - Brossura
Sinossi
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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L'autore
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
Editore:
LAP LAMBERT Academic Publishing Mrz 2012, 2012
ISBN 10: 3848447533
ISBN 13: 9783848447534
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783848447534
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Feature Selection for Cancer Classification
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848447533
ISBN 13: 9783848447534
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Brossura
Da: moluna, Greven, Germania
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Condizione: 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. Codice articolo 5522887
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Feature Selection for Cancer Classification
Editore:
LAP LAMBERT Academic Publishing Mär 2012, 2012
ISBN 10: 3848447533
ISBN 13: 9783848447534
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Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783848447534
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Feature Selection for Cancer Classification : A dissemination Report Containing A Novel Feature Selection Approach
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848447533
ISBN 13: 9783848447534
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783848447534
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Feature Selection for Cancer Classification: A dissemination Report Containing A Novel Feature Selection Approach
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848447533
ISBN 13: 9783848447534
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Da: Mispah books, Redhill, SURRE, Regno Unito
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA79638484475336
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