Bryan A. Dawkins

The paper develops and evaluates methods for optimizing k in k-nearest-neighbor feature selection for imbalanced data, showing improved performance on RNA-Seq data from Major Depressive Disorder.

The paper derives analytical expressions for pairwise distance distributions under Lq metrics and introduces new metrics for genetic variants and rs-fMRI data to improve nearest-neighbor methods in bioinformatics.

The paper introduces NPDR, a feature selection method that detects network interactions in high-dimensional data while adjusting for multiple tests and confounding, showing improved performance over existing methods.