Big data sciences bioinformatics (12 résultats)
Langue : anglais
Edité par Springer 2018-09-22, 2018
Série : Livre 7 sur 104 - SpringerBriefs in Continuum Mechanics
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Vendeur : Chiron Media, Wallingford, Royaume-UniChiron Media
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Paperback. Etat : New.
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Vendeur : California Books, Miami, FL, Etats-UnisCalifornia Books
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EUR 188,42
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Etat : New.
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Vendeur : PBShop.store US, Wood Dale, IL, Etats-UnisPBShop.store US
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HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-UniPBShop.store UK
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HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.
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Langue : anglais
Edité par World Scientific Publishing Co Pte Ltd, SG, 2025
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Vendeur : Rarewaves.com USA, London, LONDO, Royaume-UniRarewaves.com USA
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EUR 218,89
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Hardback. Etat : New. This book aims to provide a comprehensive overview of how artificial intelligence (AI) and big data analytics are transforming bioinformatics and biomedical research. It covers a wide range of computational methods applied to biomedical big data, including genomics, transcriptomics, proteomics, and imaging…data, with a focus on their role in precision medicine.The book is structured to guide readers from foundational AI models and data integration techniques to advanced applications in systems biology and drug discovery. It explores key topics such as single-cell and spatial omics analysis, genetic variation studies, and computational modeling of disease processes. Additionally, it highlights cutting-edge approaches in synthetic biology, mRNA optimization, and small molecule generation.Designed for researchers, bioinformaticians, and clinicians, this book bridges the gap between computational sciences and biomedical applications. It aims to equip readers with the necessary knowledge to develop AI-driven solutions for diagnosing diseases, predicting treatment responses, and designing novel therapeutics. By integrating theoretical insights with real-world applications, the book serves as both an educational resource and a reference for ongoing advancements in AI-driven biomedical research.
Langue : anglais
Edité par World Scientific Publishing Co Pte Ltd, Singapore, 2025
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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-UnisGrand Eagle Retail
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EUR 221,92
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Hardcover. Etat : new. Hardcover. This book aims to provide a comprehensive overview of how artificial intelligence (AI) and big data analytics are transforming bioinformatics and biomedical research. It covers a wide range of computational methods applied to biomedical big data, including genomics, transcriptomics, proteomics,…and imaging data, with a focus on their role in precision medicine.The book is structured to guide readers from foundational AI models and data integration techniques to advanced applications in systems biology and drug discovery. It explores key topics such as single-cell and spatial omics analysis, genetic variation studies, and computational modeling of disease processes. Additionally, it highlights cutting-edge approaches in synthetic biology, mRNA optimization, and small molecule generation.Designed for researchers, bioinformaticians, and clinicians, this book bridges the gap between computational sciences and biomedical applications. It aims to equip readers with the necessary knowledge to develop AI-driven solutions for diagnosing diseases, predicting treatment responses, and designing novel therapeutics. By integrating theoretical insights with real-world applications, the book serves as both an educational resource and a reference for ongoing advancements in AI-driven biomedical research. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Langue : anglais
Edité par World Scientific Publishing Co Pte Ltd, Singapore, 2025
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Vendeur : CitiRetail, Stevenage, Royaume-UniCitiRetail
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EUR 210,02
EUR 43,24 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 1 disponible(s)
Hardcover. Etat : new. Hardcover. This book aims to provide a comprehensive overview of how artificial intelligence (AI) and big data analytics are transforming bioinformatics and biomedical research. It covers a wide range of computational methods applied to biomedical big data, including genomics, transcriptomics, proteomics,…and imaging data, with a focus on their role in precision medicine.The book is structured to guide readers from foundational AI models and data integration techniques to advanced applications in systems biology and drug discovery. It explores key topics such as single-cell and spatial omics analysis, genetic variation studies, and computational modeling of disease processes. Additionally, it highlights cutting-edge approaches in synthetic biology, mRNA optimization, and small molecule generation.Designed for researchers, bioinformaticians, and clinicians, this book bridges the gap between computational sciences and biomedical applications. It aims to equip readers with the necessary knowledge to develop AI-driven solutions for diagnosing diseases, predicting treatment responses, and designing novel therapeutics. By integrating theoretical insights with real-world applications, the book serves as both an educational resource and a reference for ongoing advancements in AI-driven biomedical research. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Ai And Big Data Sciences For Bioinformatics And Systems Medicine
Liu, Jiajia (Editor)/ Huang, Kexin (Editor)/ Zhou, Xiaobo (Editor)
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Vendeur : Revaluation Books, Exeter, Royaume-UniRevaluation Books
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EUR 252,65
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Hardcover. Etat : Brand New. 600 pages. 6.00x0.93x9.00 inches. In Stock.
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Langue : anglais
Edité par World Scientific Publishing Co Pte Ltd, SG, 2025
- Couverture rigide
Vendeur : Rarewaves.com UK, London, Royaume-UniRarewaves.com UK
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EUR 206,93
EUR 75,96 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 15 disponible(s)
Hardback. Etat : New. This book aims to provide a comprehensive overview of how artificial intelligence (AI) and big data analytics are transforming bioinformatics and biomedical research. It covers a wide range of computational methods applied to biomedical big data, including genomics, transcriptomics, proteomics, and imaging…data, with a focus on their role in precision medicine.The book is structured to guide readers from foundational AI models and data integration techniques to advanced applications in systems biology and drug discovery. It explores key topics such as single-cell and spatial omics analysis, genetic variation studies, and computational modeling of disease processes. Additionally, it highlights cutting-edge approaches in synthetic biology, mRNA optimization, and small molecule generation.Designed for researchers, bioinformaticians, and clinicians, this book bridges the gap between computational sciences and biomedical applications. It aims to equip readers with the necessary knowledge to develop AI-driven solutions for diagnosing diseases, predicting treatment responses, and designing novel therapeutics. By integrating theoretical insights with real-world applications, the book serves as both an educational resource and a reference for ongoing advancements in AI-driven biomedical research.
Langue : anglais
Edité par World Scientific Publishing Co Pte Ltd, Singapore, 2025
- Couverture rigide
Vendeur : AussieBookSeller, Truganina, VIC, AustralieAussieBookSeller
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EUR 327,45
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Hardcover. Etat : new. Hardcover. This book aims to provide a comprehensive overview of how artificial intelligence (AI) and big data analytics are transforming bioinformatics and biomedical research. It covers a wide range of computational methods applied to biomedical big data, including genomics, transcriptomics, proteomics,…and imaging data, with a focus on their role in precision medicine.The book is structured to guide readers from foundational AI models and data integration techniques to advanced applications in systems biology and drug discovery. It explores key topics such as single-cell and spatial omics analysis, genetic variation studies, and computational modeling of disease processes. Additionally, it highlights cutting-edge approaches in synthetic biology, mRNA optimization, and small molecule generation.Designed for researchers, bioinformaticians, and clinicians, this book bridges the gap between computational sciences and biomedical applications. It aims to equip readers with the necessary knowledge to develop AI-driven solutions for diagnosing diseases, predicting treatment responses, and designing novel therapeutics. By integrating theoretical insights with real-world applications, the book serves as both an educational resource and a reference for ongoing advancements in AI-driven biomedical research. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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- impression à la demande
Vendeur : preigu, Osnabrück, Allemagnepreigu
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EUR 228,90
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Buch. Etat : Neu. AI AND BIG DATA SCIENCES FOR BIOINFORMATICS AND SYSTEMS MED | Liu Jiajia | Buch | Englisch | 2025 | World Scientific | EAN 9789819814282 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book aims to provide a comprehensive overview of how artificial intelligence (AI) and big data analytics are transforming bioinformatics and biomedical research. It covers a wide range of computational methods applied to biomedical big data, i…ncluding genomics, transcriptomics, proteomics, and imaging data, with a focus on their role in precision medicine.The book is structured to guide readers from foundational AI models and data integration techniques to advanced applications in systems biology and drug discovery. It explores key topics such as single-cell and spatial omics analysis, genetic variation studies, and computational modeling of disease processes. Additionally, it highlights cutting-edge approaches in synthetic biology, mRNA optimization, and small molecule generation.Designed for researchers, bioinformaticians, and clinicians, this book bridges the gap between computational sciences and biomedical applications. It aims to equip readers with the necessary knowledge to develop AI-driven solutions for diagnosing diseases, predicting treatment responses, and designing novel therapeutics. By integrating theoretical insights with real-world applications, the book serves as both an educational resource and a reference for ongoing advancements in AI-driven biomedical research.
