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Multivariate Biomarker Discovery on Hardback by Darius M. Dziuda
Multivariate Biomarker Discovery on Hardback by Darius M. Dziuda
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Multivariate Biomarker Discovery

Data Science Methods for Efficient Analysis of High-Dimensional Biomedical Data
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Description

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.

Author Biography:

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.
Release date Australia
May 31st, 2024
Pages
300
Audiences
  • Postgraduate, Research & Scholarly
  • Undergraduate
Illustrations
Worked examples or Exercises
ISBN-13
9781316518700
Product ID
38174711

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