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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

Darius M. Dziuda
Affiliation:
Central Connecticut State University
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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.

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Chapter
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Multivariate Biomarker Discovery
Data Science Methods for Efficient Analysis of High-Dimensional Biomedical Data
, pp. 16 - 24
Publisher: Cambridge University Press
Print publication year: 2024

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