L.-J. Gardiner

AutoXAI4Omics automates and explains ML pipelines for omics and tabular data, enabling interpretable insights for biomarker discovery and phenotype prediction.

This study identifies QTLs and candidate genes associated with root system architecture in wheat under nitrate nutrition, offering targets to improve nitrogen capture.

The paper identifies candidate genes for photosynthetic capacity in wheat by analyzing genetic variation and hyperspectral data from diverse wheat germplasm.

This study identifies genetic markers associated with biomass and radiation use efficiency in spring wheat, showing their potential to improve yield through marker-assisted breeding.