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Multivariate Biomarker Discovery: Data Science Methods for Efficient Analysis of High-Dimensional Biomedical Data

Dziuda, Darius M.

Published by Cambridge University Press, 2024

ISBN 10: 1316518701 ISBN 13: 9781316518700

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Seller: Book Deals, Tucson, AZ, U.S.A.

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Condition: Very Good. Very Good condition. Shows only minor signs of wear, and very minimal markings inside (if any). 1.74. Seller Inventory # 353-1316518701-vrg

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Multivariate Biomarker Discovery : Data Science Methods for Efficient Analysis of High-dimensional Biomedical Data

Dziuda, Darius M.

Published by Cambridge University Press, 2024

ISBN 10: 1316518701 ISBN 13: 9781316518700

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Multivariate Biomarker Discovery: Data Science Methods for Efficient Analysis of High-Dimensional Biomedical Data

Dziuda, Darius M.

Published by Cambridge University Press, 2024

ISBN 10: 1316518701 ISBN 13: 9781316518700

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Multivariate Biomarker Discovery : Data Science Methods for Efficient Analysis of High-dimensional Biomedical Data

Dziuda, Darius M.

Published by Cambridge University Press, 2024

ISBN 10: 1316518701 ISBN 13: 9781316518700

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Multivariate Biomarker Discovery: Data Science Methods for Efficient Analysis of High-Dimensional Biomedical Data

Darius M. Dziuda

Published by Cambridge University Press, 2024

ISBN 10: 1316518701 ISBN 13: 9781316518700

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Hardcover. Condition: Brand New. 300 pages. 6.69x0.69x9.61 inches. In Stock. Seller Inventory # __1316518701

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Multivariate Biomarker Discovery (Hardcover)

Darius M. Dziuda

Published by Cambridge University Press, Cambridge, 2024

ISBN 10: 1316518701 ISBN 13: 9781316518700

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Hardcover. Condition: new. Hardcover. Multivariate biomarker discovery is increasingly important in the realm of biomedical research, and is poised to become a crucial facet of personalized medicine. This will prompt the demand for a myriad of novel biomarkers representing distinct 'omic' biosignatures, allowing selection and tailoring treatments to the various individual characteristics of a particular patient. This concise and self-contained book covers all aspects of predictive modeling for biomarker discovery based on high-dimensional data, as well as modern data science methods for identification of parsimonious and robust multivariate biomarkers for medical diagnosis, prognosis, and personalized medicine. It provides a detailed description of state-of-the-art methods for parallel multivariate feature selection and supervised learning algorithms for regression and classification, as well as methods for proper validation of multivariate biomarkers and predictive models implementing them. This is an invaluable resource for scientists and students interested in bioinformatics, data science, and related areas. This concise book for scientists and students interested in bioinformatics and data science covers all aspects of predictive modeling for biomarker discovery based on high-dimensional data, as well as modern data science methods for identification of parsimonious and robust multivariate biomarkers for medical diagnosis and personalized medicine. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781316518700

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