Article

Centrality-based nearest-neighbor projected-distance regression (C-NPDR) feature selection for correlation predictors with application to resting-state fMRI of major depressive disorder

2024-04-01

Abstract excerpt

<h4>Background: </h4> Nearest-neighbor projected-distance regression (NPDR) is a metric-based machine learning feature selection algorithm that uses distances between samples and projected differences between variables to identify variables or features that may interact to affect the prediction of complex outcomes. Typical bioinformatics data consist of separate variables of interest like genes or proteins. In con...

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Literature Corpus work: ec552988-2290-5cdf-8abb-2d71bbffcb94
DOI: 10.21203/rs.3.rs-4193488/v1

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