Darius P. Schaub

SCALE identifies multi-scale functional domains in spatial transcriptomics data using neural graph learning and entropy-based search, achieving state-of-the-art performance on simulated and biological datasets.

This study uses spatial transcriptomics to show that immune and renal cell interactions drive glomerular crescent formation in RPGN through PDGF and TGF-β signaling to PECs.

The paper develops an in situ hybridization method to analyze T cell clonality in kidney biopsies and finds spatial clustering of clonally related T cells near antigen-presenting cells.

This paper introduces BioContextAI, an open-source initiative that provides standardized access to validated biomedical knowledge to improve the reliability of AI systems in biomedical research.

This paper introduces NichePCA, a PCA-based method for spatial domain identification that performs competitively with ten state-of-the-art methods across six spatial transcriptomic datasets.