Biological Data Mining Applications by Xiaoli (17 results)

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Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

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Hardback. Condition: As new. xvi + 420 pp. Science, Engineering, and Biology Informatics, volume 7. book.

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Language: English
Published by World Scientific Publishing Company, Incorporated, 2013
- Hardcover
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Language: English
Published by World Scientific Publishing Company, Incorporated, 2013
- Hardcover
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Condition: New. pp. 436.

Language: English
Published by World Scientific Publishing Company, Incorporated, 2013
- Hardcover
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Language: English
Published by World Scientific Publishing Co Pte Ltd, 2014
- Hardcover
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Language: English
Published by World Scientific Publishing Co Pte Ltd, 2014
- Hardcover
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- Hardcover
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- Hardcover
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Condition: New. In English.

- Hardcover
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextBiologists are stepping up their efforts in understanding the biological processes that underlie disease pathways in the clinical contexts. This has resulted in a flood of biological and clinical data from genomic and protein .…
More images- Hardcover
- Print on Demand
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Buch. Condition: Neu. BIOLOGICAL DATA MINING & ITS APPLICATIONS IN HEALTHCARE | Li Xiaoli | Buch | Gebunden | Englisch | 2013 | World Scientific | EAN 9789814551007 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

- Hardcover
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Biologists are stepping up their efforts in understanding the biological processes that underlie disease pathways in the clinical contexts. This has resulted in a flood of biological and clinical data from genomic and protein sequences, DNA microarrays, protein interactions, biomedical images, to disease pathways and electronic health records. To exploit these data for discovering new knowledge that can be translated into clinical applications, there are fundamental data analysis difficulties that have to be overcome. Practical issues such as handling noisy and incomplete data, processing compute-intensive tasks, and integrating various data sources, are new challenges faced by biologists in the post-genome era. This book will cover the fundamentals of state-of-the-art data mining techniques which have been designed to handle such challenging data analysis problems, and demonstrate with real applications how biologists and clinical scientists can employ data mining to enable them to make meaningful observations and discoveries from a wide array of heterogeneous data from molecular biology to pharmaceutical and clinical domains.…