Ainsley R. Davies

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.