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

Dziuda, Darius M.

 
9781316518700: Multivariate Biomarker Discovery: Data Science Methods for Efficient Analysis of High-dimensional Biomedical Data
Couverture rigide
ISBN 10 : 1316518701 ISBN 13 : 9781316518700
Editeur : Cambridge University Press, 2024

Synopsis

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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À propos de l'auteur

Darius M. Dziuda, Ph.D., is Professor of Data Science and Bioinformatics at Central Connecticut State University (CCSU), with both academic and biotechnology industry experience. His research focuses on multivariate biomarker discovery for medical diagnosis, prognosis, and personalized medicine. Dr. Dziuda is also designing and teaching courses for two specializations of CCSU's graduate data science program: Bioinformatics and Advanced Data Science Methods.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Cambridge University Press
Date d'édition
2024
Langue
anglais
ISBN 10 
1316518701
ISBN 13 
9781316518700
Reliure
Relié
Nombre de pages
294
Coordonnées du fabricant
non disponible
Personne responsable
Avery
https://www.avery.fr/

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