{"product_id":"multivariate-biomarker-discovery-data-science-methods-for-efficient-analysis-of-high-dimensional-biomedical-data-hardback-9781316518700","title":"Multivariate Biomarker Discovery; Data Science Methods for Efficient Analysis of High-Dimensional Biomedical Data (Hardback) 9781316518700","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eMultivariate Biomarker Discovery\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eData Science Methods for Efficient Analysis of High-Dimensional Biomedical Data\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003eA concise guide to all aspects of predictive modeling for biomarker discovery for medical diagnosis, prognosis, and personalized medicine.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eDarius M. Dziuda (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781316518700, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 6 June 2024\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e294 pages\u003cbr\u003e25 x 17.7 x 2.2 cm, 0.67 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e'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\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eMultivariate 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.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePreface\u003cbr\u003e Acknowledgments\u003cbr\u003e Part I. Framework for Multivariate Biomarker Discovery: 1. Introduction\u003cbr\u003e 2. Multivariate analytics based on high-dimensional data: concepts and misconceptions\u003cbr\u003e 3. Predictive modeling for biomarker discovery\u003cbr\u003e 4. Evaluation of predictive models\u003cbr\u003e 5. Multivariate feature selection\u003cbr\u003e Part II. Regression Methods for Estimation: 6. Basic regression methods\u003cbr\u003e 7. Regularized regression methods\u003cbr\u003e 8. Regression with random forests\u003cbr\u003e 9. Support vector regression\u003cbr\u003e Part III. Classification Methods: 10. Classification with random forests\u003cbr\u003e 11. Classification with support vector machines\u003cbr\u003e 12. Discriminant analysis\u003cbr\u003e 13. Neural networks and deep learning\u003cbr\u003e Part IV. Biomarker Discovery via Multistage Signal Enhancement and Identification of Essential Patterns: 14. Multistage signal enhancement\u003cbr\u003e 15. Essential patterns, essential variables, and interpretable biomarkers\u003cbr\u003e 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\u003cbr\u003e 17. Biomarker discovery study 2: multivariate biomarkers for liver cancer\u003cbr\u003e References\u003cbr\u003e Index.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Genetics [\u003ca title=\"See our other books on Genetics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Genetics%20%5Bnon-medical%5D%20%5BPSAK%5D%22\"\u003enon-medical PSAK\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Brand New","offer_id":52472074895640,"sku":"9781316518700","price":47.89,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781316518700i.jpg?v=1785715902","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/multivariate-biomarker-discovery-data-science-methods-for-efficient-analysis-of-high-dimensional-biomedical-data-hardback-9781316518700","provider":"Freshly Printed Books","version":"1.0","type":"link"}