Multivariate Biomarker Discovery: Data Science Methods for Efficient Analysis of High-Dimensional Biomedical Data
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Multivariate Biomarker Discovery: Data Science Methods for Efficient Analysis of High-Dimensional Biomedical Data

by Darius M. Dziuda

Science Medicine Data Science biostatistics
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Multivariate Biomarker Discovery examines data science methods for efficient analysis of high-dimensional biomedical data. Darius M. Dziuda presents a focused resource on multivariate approaches to biomarker discovery, suited to readers exploring the analytical challenges of modern biomedical research and data-driven scientific investigation.

About This Book

Multivariate Biomarker Discovery introduces data science methods for analyzing high-dimensional biomedical data.

The book focuses on approaches for discovering and evaluating biomarkers through multivariate analysis.

It is intended for readers seeking a method-oriented perspective on biomedical data analysis and biomarker research.

Darius M. Dziuda presents the subject at the intersection of data science and biomedicine.

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I will be using this book for: