Ian K. Gingerich

The paper benchmarks sketching methods on spatial transcriptomics data, showing that spatially aware methods outperform others in preserving tissue structure and capturing rare cell states.

The paper introduces the Neighborhood Product Co-localization (NPC) score to quantify co-localization of cell types in spatial transcriptomics data, demonstrating its application on a mouse ovary dataset.

RASP is a fast dimensionality reduction method for spatial transcriptomics data that improves computational efficiency while maintaining accuracy in spatial domain detection.

The paper maps neuronal diversity in the mouse insular cortex, identifying distinct morphological and functional types that underlie its diverse roles.

The paper presents MenoMap, a single-cell atlas of 2 million cells from 13 tissues including the ovary, analyzing gene expression changes across pre- and post-menopausal donors.