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Sinopsis
Microarray gene expression data gained great importance in recent years due to its role in disease diagnoses and prognoses which help to choose the appropriate treatment plan for patients. This technology has shifted a new era in molecular classification, interpreting gene expression data remains a difficult problem and an active research area due to their native nature of “high dimensional low sample size”. Such problems pose great challenges to existing classification methods. Thus, effective feature selection techniques are often needed in this case to aid to correctly classify different tumor types and consequently lead to a better understanding of genetic signatures as well as improve treatment strategies.
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Reseña del editor
Microarray gene expression data gained great importance in recent years due to its role in disease diagnoses and prognoses which help to choose the appropriate treatment plan for patients. This technology has shifted a new era in molecular classification, interpreting gene expression data remains a difficult problem and an active research area due to their native nature of “high dimensional low sample size”. Such problems pose great challenges to existing classification methods. Thus, effective feature selection techniques are often needed in this case to aid to correctly classify different tumor types and consequently lead to a better understanding of genetic signatures as well as improve treatment strategies.
Biografía del autor
The author has a Master's degree in computer science from King Abdullah University of Science and Technology (KAUST).
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Feature Selection
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LAP LAMBERT Academic Publishing Sep 2013, 2013
ISBN 10: 3659454869
ISBN 13: 9783659454868
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Microarray gene expression data gained great importance in recent years due to its role in disease diagnoses and prognoses which help to choose the appropriate treatment plan for patients. This technology has shifted a new era in molecular classification, interpreting gene expression data remains a difficult problem and an active research area due to their native nature of 'high dimensional low sample size'. Such problems pose great challenges to existing classification methods. Thus, effective feature selection techniques are often needed in this case to aid to correctly classify different tumor types and consequently lead to a better understanding of genetic signatures as well as improve treatment strategies. 64 pp. Englisch. Nº de ref. del artículo: 9783659454868
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Feature Selection
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659454869
ISBN 13: 9783659454868
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Microarray gene expression data gained great importance in recent years due to its role in disease diagnoses and prognoses which help to choose the appropriate treatment plan for patients. This technology has shifted a new era in molecular classification, interpreting gene expression data remains a difficult problem and an active research area due to their native nature of 'high dimensional low sample size'. Such problems pose great challenges to existing classification methods. Thus, effective feature selection techniques are often needed in this case to aid to correctly classify different tumor types and consequently lead to a better understanding of genetic signatures as well as improve treatment strategies. Nº de ref. del artículo: 9783659454868
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Feature Selection
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659454869
ISBN 13: 9783659454868
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Abu Samra HebaThe author has a Master s degree in computer science from King Abdullah University of Science and Technology (KAUST).Microarray gene expression data gained great importance in recent years due to its role in disease. Nº de ref. del artículo: 5157144
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Feature Selection
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Feature Selection
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Feature Selection
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LAP LAMBERT Academic Publishing Sep 2013, 2013
ISBN 10: 3659454869
ISBN 13: 9783659454868
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Microarray gene expression data gained great importance in recent years due to its role in disease diagnoses and prognoses which help to choose the appropriate treatment plan for patients. This technology has shifted a new era in molecular classification, interpreting gene expression data remains a difficult problem and an active research area due to their native nature of ¿high dimensional low sample size¿. Such problems pose great challenges to existing classification methods. Thus, effective feature selection techniques are often needed in this case to aid to correctly classify different tumor types and consequently lead to a better understanding of genetic signatures as well as improve treatment strategies.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch. Nº de ref. del artículo: 9783659454868
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Feature Selection
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Lap Lambert Academic Publishing, 2013
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ISBN 13: 9783659454868
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Paperback. Condición: Brand New. 64 pages. 8.66x5.91x0.15 inches. In Stock. Nº de ref. del artículo: __3659454869
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Feature Selection
Publicado por
Lap Lambert Academic Publishing, 2013
ISBN 10: 3659454869
ISBN 13: 9783659454868
Nuevo
Paperback
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. 64 pages. 8.66x5.91x0.15 inches. In Stock. Nº de ref. del artículo: 3659454869
Cantidad disponible: 1 disponibles