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portada Multivariate Biomarker Discovery: Data Science Methods for Efficient Analysis of High-Dimensional Biomedical Data
Type
Physical Book
Author
Publisher
Language
English
Pages
300
Format
Hardcover
ISBN13
9781316518700
Categories

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

Darius M. Dziuda (Author) · Cambridge University Press · Hardcover

Multivariate Biomarker Discovery: Data Science Methods for Efficient Analysis of High-Dimensional Biomedical Data - Dziuda, Darius M.

New Book Imported to New Zealand
Delivery: 15 Sep - 22 Sep Shipping: 2 to 3 business days.
NZ$ 204.35
Import costs and 15% GST included in the price ✅
NZ$ 204.35

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

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.

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