书目详细信息
： Multivariate biomarker discovery :
书目信息 机读格式(MARC)
| ISBN： | 9781316518700 |
|---|---|
| 语种代码： | eng |
| 个人名称： | Dziuda, Darius M., |
| 题名： | Multivariate biomarker discovery : data science methods for efficient analysis of high-dimensional biomedical data / Darius M. Dziuda. |
| 出版发行项： | Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2024. |
| 载体形态： | xvii, 275 pages : illustrations ; 25 cm |
| 书目附注： | Includes bibliographical references and index. |
| 格式化内容附注： | Multivariate analytics based on high-dimensional data : concepts and misconceptions -- Predictive modeling for biomarker discovery -- Evaluation of predictive models -- Multivariate feature selection -- Basic regression methods -- Regularized regression methods -- Regression with random forests -- Support vector regression -- Classification with random forests -- Classification with support vector machines -- Discriminant analysis -- Neural networks and deep learning -- Multistage signal enhancement -- Essential patterns, essential variables, and interpretable biomarkers -- Biomarker discovery study 1 : searching for essential gene expression patterns and multivariate biomarkers that are common for multiple types of cancer -- Biomarker discovery study 2 : multivariate biomarkers for liver cancer. |