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Hardcover. Zustand: Good. No Jacket. 1st Edition. Good reading or reference copy. Minor wear. Light spotting to outside page edge. 10 pages or so with highlighting and a couple notes. All intact.
Sprache: Englisch
Verlag: Cambridge University Press, 2024
ISBN 10: 1316518701 ISBN 13: 9781316518700
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hardcover. Zustand: Very Good.
Sprache: Englisch
Verlag: Cambridge University Press, 2024
ISBN 10: 1316518701 ISBN 13: 9781316518700
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Sprache: Englisch
Verlag: Cambridge University Press, 2024
ISBN 10: 1316518701 ISBN 13: 9781316518700
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ISBN 10: 1316518701 ISBN 13: 9781316518700
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Verlag: Cambridge University Press, Cambridge, 2024
ISBN 10: 1316518701 ISBN 13: 9781316518700
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Hardcover. Zustand: 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.
Sprache: Englisch
Verlag: Cambridge University Press, 2024
ISBN 10: 1316518701 ISBN 13: 9781316518700
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Sprache: Englisch
Verlag: Cambridge University Press 2024-04-30, 2024
ISBN 10: 1316518701 ISBN 13: 9781316518700
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Sprache: Englisch
Verlag: Cambridge University Press, 2024
ISBN 10: 1316518701 ISBN 13: 9781316518700
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Sprache: Englisch
Verlag: Cambridge University Press, 2024
ISBN 10: 1316518701 ISBN 13: 9781316518700
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Zustand: New. xvii 319 8 of lates Index.
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In den WarenkorbZustand: New. xvii 319 8 of lates Illus.
Sprache: Englisch
Verlag: Cambridge University Press, 2024
ISBN 10: 1316518701 ISBN 13: 9781316518700
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Sprache: Englisch
Verlag: Cambridge University Press, GB, 2024
ISBN 10: 1316518701 ISBN 13: 9781316518700
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In den WarenkorbHardback. Zustand: New. 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.
Sprache: Englisch
Verlag: Cambridge University Press, 2024
ISBN 10: 1316518701 ISBN 13: 9781316518700
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Zustand: New. xvii 319 8 of lates Acknowledgements.
Sprache: Englisch
Verlag: Cambridge University Press, 2024
ISBN 10: 1316518701 ISBN 13: 9781316518700
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ISBN 10: 1316518701 ISBN 13: 9781316518700
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ISBN 10: 1316518701 ISBN 13: 9781316518700
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In den WarenkorbHardcover. Zustand: Brand New. 300 pages. 6.69x0.69x9.61 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press Jun 2024, 2024
ISBN 10: 1316518701 ISBN 13: 9781316518700
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Buch. Zustand: Neu. Neuware - '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'--.
Sprache: Englisch
Verlag: Cambridge University Press, GB, 2024
ISBN 10: 1316518701 ISBN 13: 9781316518700
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In den WarenkorbHardback. Zustand: New. 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.
Sprache: Englisch
Verlag: Cambridge University Press, 2024
ISBN 10: 1316518701 ISBN 13: 9781316518700
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In den WarenkorbHardcover. Zustand: Brand New. 300 pages. 6.69x0.69x9.61 inches. In Stock. This item is printed on demand.
Sprache: Englisch
Verlag: Cambridge University Press, 2024
ISBN 10: 1316518701 ISBN 13: 9781316518700
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Sprache: Englisch
Verlag: Cambridge University Press, Cambridge, 2024
ISBN 10: 1316518701 ISBN 13: 9781316518700
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In den WarenkorbHardcover. Zustand: 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Sprache: Englisch
Verlag: Cambridge University Press, Cambridge, 2024
ISBN 10: 1316518701 ISBN 13: 9781316518700
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Hardcover. Zustand: 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.