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Ajouter au panierTaschenbuch. Etat : Neu. Data Mining and Computational Intelligence in Genomics | Methods for Gene Expression Data Analysis | Andrei Dragomir | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639165265 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Langue: anglais
Edité par Elsevier Science Publishing Co Inc Jan 2025, 2025
ISBN 10 : 0443300801 ISBN 13 : 9780443300806
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Ajouter au panierTaschenbuch. Etat : 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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Ajouter au panierKartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dragomir AndreiReceived his B.S. in Electrical Engineering fromnthe Politehnica University, Bucharest, Romania and his M.S. andnPh.D. in Biomedical Engineering from the University of Patras,nGreece. He joined the Harrington Departmen.
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Ajouter au panierPaperback. Etat : Brand New. 300 pages. 9.25x7.50x0.79 inches. In Stock. This item is printed on demand.
Langue: anglais
Edité par Elsevier Science Publishing Co Inc, San Diego, 2025
ISBN 10 : 0443300801 ISBN 13 : 9780443300806
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Ajouter au panierPaperback. Etat : 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.