Multivariate Biomarker Discovery Data Science Methods for Efficient Analysis of High-Dimensional Biomedical Data
Book contents
- Multivariate Biomarker Discovery
- Multivariate Biomarker Discovery
- Copyright page
- Dedication
- Contents
- Preface
- 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
- Part III Classification Methods
- Part IV Biomarker Discovery via Multistage Signal Enhancement and Identification of Essential Patterns
- Part V Multivariate Biomarker Discovery Studies
- References
- Index
2 - Multivariate Analytics Based on High-Dimensional Data: Concepts and Misconceptions
from Part I - Framework for Multivariate Biomarker Discovery
Published online by Cambridge University Press: 30 May 2024
Book contents
- Multivariate Biomarker Discovery
- Multivariate Biomarker Discovery
- Copyright page
- Dedication
- Contents
- Preface
- 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
- Part III Classification Methods
- Part IV Biomarker Discovery via Multistage Signal Enhancement and Identification of Essential Patterns
- Part V Multivariate Biomarker Discovery Studies
- References
- Index
Summary
Chapter 2, while continuing with the concepts of importance to multivariate analysis of high-dimensional data, adds considerations related to the curse of dimensionality and descriptions of common misconceptions. Discussed is the fallacy of applying to high-dimensional data the same methods that were successfully used in low-dimensional settings. Explained are also misconceptions based on driving biomarker discovery studies by univariate and unsupervised approaches.
Keywords
- Type
- Chapter
- Information
- Multivariate Biomarker DiscoveryData Science Methods for Efficient Analysis of High-Dimensional Biomedical Data, pp. 16 - 24Publisher: Cambridge University PressPrint publication year: 2024