Leeana D. Peters

The paper identifies TCR subsequence motifs associated with type 1 diabetes using deep learning and shows their enrichment in T1D individuals based on HLA risk alleles.

TCR2HLA infers HLA genotypes from TCR repertoires, enabling identification of immunologically relevant metaclonotypes and discovery of HLA-associated TCRs.

BayesCNet improves inference of cell type-specific regulatory networks by leveraging cell type hierarchy, outperforming existing methods, especially for rare cell types.

This study identifies aberrant immune regulation and stem-like CD8+ T cells in pancreatic lymph nodes during type 1 diabetes development using mass cytometry and single-cell RNA sequencing.

This study shows that blocking CD226 reduces diabetes in NOD mice by enhancing Treg function and reducing effector T cell activity.