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

Language: English

Published by Cambridge University Press Jun 2024, 2024

1316518701 / 9781316518700

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Neuware - 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.

Seller Inventory # 9781316518700

Title
Multivariate Biomarker Discovery : Data Science Methods for Efficient Analysis of High-Dimensional Biomedical Data
Author
Darius M. Dziuda
Publisher
Cambridge University Press Jun 2024
Publication year
2024
Condition
Neu
Binding
Buch
Language
English
ISBN 10
1316518701
ISBN 13
9781316518700
Item weight
645 grams
Dimensions
244x178x22 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item5 to 7 business days7 to 10 business days
First itemUS$ 35.42US$ 35.42
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