Nghia Millard

This study identifies granzyme K as a driver of a novel complement activation pathway independent of classical, lectin, or alternative pathways.

The paper develops SCENT, a method to create cell-type-specific enhancer-gene maps from single-cell multimodal data, identifying causal variants and genes for diseases.

The paper maps cell-type-specific eQTLs for HLA genes across multiple tissues and identifies dynamic regulation of HLA-DQ genes in immune cells.

The paper deconstructs RA synovium using single-cell data to identify six cell type abundance phenotypes associated with distinct inflammatory states.

Symphony maps query cells to large reference atlases efficiently, enabling rapid identification of cell states and phenotypes across diverse datasets.

The paper introduces scPOST, a tool for estimating statistical power in single-cell studies, and shows that larger sample sizes, reduced batch effects, and lower cell state variability increase power to detect clinically associated cell state shifts.

Harmony alternates diversity-penalized soft clustering with cluster-specific linear correction of PCA embeddings, integrating single-cell datasets over multiple covariates and handling 500,000 cells in 7.2GB of memory.

One-versus-all rank-sum across 10 groups and 1,000 features on a sparse 1-million-observation simulation finished in 17 seconds instead of 6.4 hours, with the same pass yielding auROC.