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OverviewFull Product DetailsAuthor: Darius M. Dziuda (Central Connecticut State University)Publisher: Cambridge University Press Imprint: Cambridge University Press ISBN: 9781316518700ISBN 10: 1316518701 Pages: 294 Publication Date: 06 June 2024 Audience: College/higher education , Undergraduate , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsPreface; Acknowledgments; Part I. Framework for Multivariate Biomarker Discovery: 1. Introduction; 2. Multivariate analytics based on high-dimensional data: concepts and misconceptions; 3. Predictive modeling for biomarker discovery; 4. Evaluation of predictive models; 5. Multivariate feature selection; Part II. Regression Methods for Estimation: 6. Basic regression methods; 7. Regularized regression methods; 8. Regression with random forests; 9. Support vector regression; Part III. Classification Methods: 10. Classification with random forests; 11. Classification with support vector machines; 12. Discriminant analysis; 13. Neural networks and deep learning; Part IV. Biomarker Discovery via Multistage Signal Enhancement and Identification of Essential Patterns: 14. Multistage signal enhancement; 15. Essential patterns, essential variables, and interpretable biomarkers; Part V. Multivariate Biomarker Discovery Studies: 16. Biomarker discovery study 1: searching for essential gene expression patterns and multivariate biomarkers that are common for multiple types of cancer; 17. Biomarker discovery study 2: multivariate biomarkers for liver cancer; References; Index.Reviews'I consider this book required reading for anyone involved in biomarker discovery. It is equally relevant for newcomers to and experts in the field. It provides all the foundations explained in a succinct and easy to understand way, while being precise and detailed on the respective methods. I particularly like that the book is easy to read and factual in its assessment of the methods discussed. The book provides a perfect guide to multivariate statistics and will help the reader to avoid pitfalls.' Klaus Heumann, General Manager, LabVantage-Biomax GmbH, Germany Author InformationDarius 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. Tab Content 6Author Website:Countries AvailableAll regions |
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