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US$ 185.18
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Computational Intelligence for Genomics Data
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Computational Intelligence for Genomics Data (Advances in Biomedical Informatics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Computational Intelligence for Genomics Data
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Computational Intelligence for Genomics Data
Language: English
Published by Elsevier Science Publishing Co Inc Jan 2025, 2025
ISBN 10: 0443300801 ISBN 13: 9780443300806
Taschenbuch. 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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Add to basketPaperback. Condition: Brand New. 300 pages. 9.25x7.50x0.79 inches. In Stock. This item is printed on demand.
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Computational Intelligence for Genomics Data (Paperback)
Language: English
Published by Elsevier Science Publishing Co Inc, San Diego, 2025
ISBN 10: 0443300801 ISBN 13: 9780443300806
US$ 198.57
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Ships 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
