T. Daniel Andrews

This study shows that male NODk mice develop severe type 2 diabetes with hyperinsulinaemia on a Western diet, while B10k mice are resistant, supporting hyperinsulinaemia as upstream in this diabetes subtype.

The paper identifies a transposable element insertion in a second thyroglobulin-like gene as a mechanism of Vip3Aa resistance in Helicoverpa armigera.

The paper introduces GPCT, a pretrained transformer model for cytometry that improves sample-level prediction and interpretability across diverse datasets.

The paper identifies rare RELA variants in autoimmune diseases and shows they affect NF-κB and IFNβ transcriptional activity and immune cell subsets.

This paper introduces a neural network-based batch alignment method for cytometry data that preserves biological signals and enables hyperdimensional representation for improved disease phenotype classification.

The paper benchmarks pairwise distance metrics for classifying mouse mutant phenotypes from flow cytometry data, finding cosine similarity and standardized Euclidean distance perform best.

The paper quantifies how functionally constrained human proteins are less affected by stability-disrupting missense mutations and shows their depletion of extreme stability-changing variants in disease-free populations.

StabilitySort prioritizes pathogenic genetic variants by assessing their impact on protein stability using AlphaFold2 predictions.

The paper shows that pharmacogenetic variants linked to off-target adverse drug reactions are mostly predicted as benign by existing tools.

The paper investigates the role of STR expansions in SLE using genomic data and computational tools, finding no large STR expansions in 76 SLE-associated genes.

The paper identifies and removes recurrent false positive variants in single genomes to improve the accuracy of variant calling.