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Computational Intelligence for Genomics Data (Paperback)
Published by Elsevier Science Publishing Co Inc, San Diego, 2025
ISBN 10: 0443300801 ISBN 13: 9780443300806
Language: English
Paperback. Condition: new. Paperback. Computational Intelligence for Genomics Data presents an overview of machine learning and deep learning techniques being developed for the analysis of genomic data and the development of disease prediction models. The book focuses on machine and deep learning techniques applied to dimensionality reduction, feature extraction, and expressive gene selection. It includes designs, algorithms, and simulations on MATLAB and Python for larger prediction models and explores the possibilities of software and hardware-based applications and devices for genomic disease prediction. With the inclusion of important case studies and examples, this book will be a helpful resource for researchers, graduate students, and professional engineers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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US$ 188.25
Convert currencyUS$ 8.63 shipping from United Kingdom to U.S.A.Quantity: 3 available
Add to basketCondition: New.
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Condition: New.
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US$ 225.67
Convert currencyUS$ 11.27 shipping from Germany to U.S.A.Quantity: 3 available
Add to basketCondition: New.
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Computational Intelligence for Genomics Data (Paperback)
Published by Elsevier Science Publishing Co Inc, San Diego, 2025
ISBN 10: 0443300801 ISBN 13: 9780443300806
Language: English
US$ 187.93
Convert currencyUS$ 49.10 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. Computational Intelligence for Genomics Data presents an overview of machine learning and deep learning techniques being developed for the analysis of genomic data and the development of disease prediction models. The book focuses on machine and deep learning techniques applied to dimensionality reduction, feature extraction, and expressive gene selection. It includes designs, algorithms, and simulations on MATLAB and Python for larger prediction models and explores the possibilities of software and hardware-based applications and devices for genomic disease prediction. With the inclusion of important case studies and examples, this book will be a helpful resource for researchers, graduate students, and professional engineers. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Condition: New.
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Computational Intelligence for Genomics Data
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 233.95
Convert currencyUS$ 19.91 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
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Computational Intelligence for Genomics Data (Advances in Biomedical Informatics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 238.99
Convert currencyUS$ 15.90 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
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Condition: As New. Unread book in perfect condition.
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Computational Intelligence for Genomics Data
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 263.51
Convert currencyUS$ 19.91 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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US$ 322.99
Convert currencyUS$ 13.27 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 300 pages. 9.25x7.50x0.79 inches. In Stock.
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Computational Intelligence for Genomics Data
Published by Elsevier Science Publishing Co Inc Jan 2025, 2025
ISBN 10: 0443300801 ISBN 13: 9780443300806
Language: English
US$ 338.70
Convert currencyUS$ 34.24 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. Neuware - Computational Intelligence for Genomics Data presents an overview of machine learning and deep learning techniques being developed for the analysis of genomic data and the development of disease prediction models. The book focuses on machine and deep learning techniques applied to dimensionality reduction, feature extraction, and expressive gene selection. It includes designs, algorithms, and simulations on MATLAB and Python for larger prediction models and explores the possibilities of software and hardware-based applications and devices for genomic disease prediction. With the inclusion of important case studies and examples, this book will be a helpful resource for researchers, graduate students, and professional engineers.
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US$ 189.99
Convert currencyUS$ 13.27 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 300 pages. 9.25x7.50x0.79 inches. In Stock. This item is printed on demand.
