Hugh G. Gauch

Gaining Accuracy for Gene Expression Data by Parsimonious Models

The paper introduces parsimonious models to improve gene expression data accuracy by selectively recovering signal and discarding noise, achieving significant accuracy gains with minimal computational cost.

Consequences of PCA graphs, SNP codings, and PCA variants for elucidating population structure

The paper evaluates common misuses of PCA in SNP data analysis and recommends best practices for improving population structure elucidation.

AMMISOFT for AMMI Analysis with Best Practices

The paper introduces AMMISOFT, an open-source tool for AMMI analysis, to streamline the protocol for genotype-by-environment interaction studies in crop improvement.