Nicholas Schreck

This paper develops a method using hyperspectral imaging and deep learning to classify tissues with high accuracy, showing that spectral variability is primarily due to tissue type.

The paper introduces a new coefficient of determination for linear mixed models and applies it to estimate heritability in genomic datasets.

The paper introduces a best prediction approach for additive genomic variance in random-effects models, incorporating linkage disequilibrium and improving upon existing methods.