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Methodologies of Multi-Omics Data Integration and Data Mining: Techniques and Applications
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Methodologies of Multi-Omics Data Integration and Data Mining : Techniques and Applications
Published by Springer Nature Singapore, 2023
ISBN 10: 9811982090 ISBN 13: 9789811982095
Language: English
£ 82.96
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Add to basketCondition: Hervorragend. Zustand: Hervorragend | Seiten: 180 | Sprache: Englisch | Produktart: Bücher.
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Methodologies of Multi-Omics Data Integration and Data Mining : Techniques and Applications
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Methodologies of Multi-Omics Data Integration and Data Mining: Techniques and Applications (Translational Bioinformatics)
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Methodologies of Multi-Omics Data Integration and Data Mining: Techniques and Applications (Translational Bioinformatics, 19)
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Methodologies of Multi-omics Data Integration and Data Mining : Techniques and Applications
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Methodologies of Multi-Omics Data Integration and Data Mining (Paperback)
Published by Springer Verlag, Singapore, Singapore, 2024
ISBN 10: 9811982120 ISBN 13: 9789811982125
Language: English
Paperback. Condition: new. Paperback. This book features multi-omics big-data integration and data-mining techniques. In the omics age, paramount of multi-omics data from various sources is the new challenge we are facing, but it also provides clues for several biomedical or clinical applications. This book focuses on data integration and data mining methods for multi-omics research, which explains in detail and with supportive examples the What, Why and How of the topic. The contents are organized into eight chapters, out of which one is for the introduction, followed by four chapters dedicated for omics integration techniques focusing on several omics data resources and data-mining methods, and three chapters dedicated for applications of multi-omics analyses with application being demonstrated by several data mining methods. This book is an attempt to bridge the gap between the biomedical multi-omics big data and the data-mining techniques for the best practice of contemporary bioinformatics and the in-depth insights for the biomedical questions. It would be of interests for the researchers and practitioners who want to conduct the multi-omics studies in cancer, inflammation disease, and microbiome researches. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Methodologies of Multi-Omics Data Integration and Data Mining
Published by Springer Nature Singapore, 2024
ISBN 10: 9811982120 ISBN 13: 9789811982125
Language: English
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Methodologies of multi-omics data integration and data mining
Published by Springer Nature Singapore, 2023
ISBN 10: 9811982090 ISBN 13: 9789811982095
Language: English
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Methodologies of Multi-Omics Data Integration and Data Mining : Techniques and Applications
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Methodologies of Multi-omics Data Integration and Data Mining : Techniques and Applications
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Methodologies of Multi-Omics Data Integration and Data Mining : Techniques and Applications
Published by Springer Nature Singapore, Springer Nature Singapore, 2024
ISBN 10: 9811982120 ISBN 13: 9789811982125
Language: English
£ 176.19
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book features multi-omics big-data integration and data-mining techniques. In the omics age, paramount of multi-omics data from various sources is the new challenge we are facing, but it also provides clues for several biomedical or clinical applications. This book focuses on data integration and data mining methods for multi-omics research, which explains in detail and with supportive examples the 'What', 'Why' and 'How' of the topic. The contents are organized into eight chapters, out of which one is for the introduction, followed by four chapters dedicated for omics integration techniques focusing on several omics data resources and data-mining methods, and three chapters dedicated for applications of multi-omics analyses with application being demonstrated by several data mining methods. This book is an attempt to bridge the gap between the biomedical multi-omics big data and the data-mining techniques for the best practice of contemporary bioinformatics and the in-depth insights for the biomedical questions. It would be of interests for the researchers and practitioners who want to conduct the multi-omics studies in cancer, inflammation disease, and microbiome researches.
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Methodologies of Multi-Omics Data Integration and Data Mining : Techniques and Applications
Published by Springer Nature Singapore, Springer Nature Singapore, 2023
ISBN 10: 9811982090 ISBN 13: 9789811982095
Language: English
£ 176.19
Convert currency£ 11.98 shipping from Germany to United KingdomQuantity: 1 available
Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book features multi-omics big-data integration and data-mining techniques. In the omics age, paramount of multi-omics data from various sources is the new challenge we are facing, but it also provides clues for several biomedical or clinical applications. This book focuses on data integration and data mining methods for multi-omics research, which explains in detail and with supportive examples the 'What', 'Why' and 'How' of the topic. The contents are organized into eight chapters, out of which one is for the introduction, followed by four chapters dedicated for omics integration techniques focusing on several omics data resources and data-mining methods, and three chapters dedicated for applications of multi-omics analyses with application being demonstrated by several data mining methods. This book is an attempt to bridge the gap between the biomedical multi-omics big data and the data-mining techniques for the best practice of contemporary bioinformatics and the in-depth insights for the biomedical questions. It would be of interests for the researchers and practitioners who want to conduct the multi-omics studies in cancer, inflammation disease, and microbiome researches.
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£ 180.22
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Methodologies of Multi-Omics Data Integration and Data Mining
Published by Springer Nature Singapore, Springer Nature Singapore Jan 2024, 2024
ISBN 10: 9811982120 ISBN 13: 9789811982125
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 169.86
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Add to basketTaschenbuch. Condition: Neu. Neuware -This book features multi-omics big-data integration and data-mining techniques. In the omics age, paramount of multi-omics data from various sources is the new challenge we are facing, but it also provides clues for several biomedical or clinical applications. This book focuses on data integration and data mining methods for multi-omics research, which explains in detail and with supportive examples the ¿What¿, ¿Why¿ and ¿How¿ of the topic. The contents are organized into eight chapters, out of which one is for the introduction, followed by four chapters dedicated for omics integration techniques focusing on several omics data resources and data-mining methods, and three chapters dedicated for applications of multi-omics analyses with application being demonstrated by several data mining methods. This book is an attempt to bridge the gap between the biomedical multi-omics big data and the data-mining techniques for the best practice of contemporary bioinformatics and the in-depth insights for the biomedical questions. It would be of interests for the researchers and practitioners who want to conduct the multi-omics studies in cancer, inflammation disease, and microbiome researches.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 180 pp. Englisch.
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Methodologies of Multi-Omics Data Integration and Data Mining
Published by Springer Nature Singapore, Springer Nature Singapore Jan 2023, 2023
ISBN 10: 9811982090 ISBN 13: 9789811982095
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 169.86
Convert currency£ 29.97 shipping from Germany to United KingdomQuantity: 2 available
Add to basketBuch. Condition: Neu. Neuware -This book features multi-omics big-data integration and data-mining techniques. In the omics age, paramount of multi-omics data from various sources is the new challenge we are facing, but it also provides clues for several biomedical or clinical applications. This book focuses on data integration and data mining methods for multi-omics research, which explains in detail and with supportive examples the ¿What¿, ¿Why¿ and ¿How¿ of the topic. The contents are organized into eight chapters, out of which one is for the introduction, followed by four chapters dedicated for omics integration techniques focusing on several omics data resources and data-mining methods, and three chapters dedicated for applications of multi-omics analyses with application being demonstrated by several data mining methods. This book is an attempt to bridge the gap between the biomedical multi-omics big data and the data-mining techniques for the best practice of contemporary bioinformatics and the in-depth insights for the biomedical questions. It would be of interests for the researchers and practitioners who want to conduct the multi-omics studies in cancer, inflammation disease, and microbiome researches.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 180 pp. Englisch.
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Paperback. Condition: Brand New. 178 pages. 9.25x6.10x0.41 inches. In Stock.
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Methodologies of Multi-Omics Data Integration and Data Mining
Published by Springer Nature B.V., 2023
ISBN 10: 9811982112 ISBN 13: 9789811982118
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Methodologies of Multi-Omics Data Integration and Data Mining
Published by Springer Nature B.V., 2023
ISBN 10: 9811982112 ISBN 13: 9789811982118
Language: English
£ 49.94
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Methodologies of Multi-Omics Data Integration and Data Mining
Published by Springer Nature Singapore, Springer Nature Singapore Jan 2024, 2024
ISBN 10: 9811982120 ISBN 13: 9789811982125
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 169.86
Convert currency£ 9.42 shipping from Germany to United KingdomQuantity: 2 available
Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book features multi-omics big-data integration and data-mining techniques. In the omics age, paramount of multi-omics data from various sources is the new challenge we are facing, but it also provides clues for several biomedical or clinical applications. This book focuses on data integration and data mining methods for multi-omics research, which explains in detail and with supportive examples the 'What', 'Why' and 'How' of the topic. The contents are organized into eight chapters, out of which one is for the introduction, followed by four chapters dedicated for omics integration techniques focusing on several omics data resources and data-mining methods, and three chapters dedicated for applications of multi-omics analyses with application being demonstrated by several data mining methods. This book is an attempt to bridge the gap between the biomedical multi-omics big data and the data-mining techniques for the best practice of contemporary bioinformatics and the in-depth insights for the biomedical questions. It would be of interests for the researchers and practitioners who want to conduct the multi-omics studies in cancer, inflammation disease, and microbiome researches. 180 pp. Englisch.
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Methodologies of Multi-Omics Data Integration and Data Mining
Published by Springer Nature Singapore, Springer Nature Singapore Jan 2023, 2023
ISBN 10: 9811982090 ISBN 13: 9789811982095
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 169.86
Convert currency£ 9.42 shipping from Germany to United KingdomQuantity: 2 available
Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book features multi-omics big-data integration and data-mining techniques. In the omics age, paramount of multi-omics data from various sources is the new challenge we are facing, but it also provides clues for several biomedical or clinical applications. This book focuses on data integration and data mining methods for multi-omics research, which explains in detail and with supportive examples the 'What', 'Why' and 'How' of the topic. The contents are organized into eight chapters, out of which one is for the introduction, followed by four chapters dedicated for omics integration techniques focusing on several omics data resources and data-mining methods, and three chapters dedicated for applications of multi-omics analyses with application being demonstrated by several data mining methods. This book is an attempt to bridge the gap between the biomedical multi-omics big data and the data-mining techniques for the best practice of contemporary bioinformatics and the in-depth insights for the biomedical questions. It would be of interests for the researchers and practitioners who want to conduct the multi-omics studies in cancer, inflammation disease, and microbiome researches. 180 pp. Englisch.
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