SEraster: a rasterization preprocessing framework for scalable spatial omics data analysis
Gohta Aihara, Kalen Clifton, Mayling Chen, Zhuoyan Li, Lyla Atta, Brendan F Miller, Rahul Satija, John W. Hickey, Jean Fan
SEraster reduces computational resource needs for spatial omics analysis by aggregating cell data into spatial pixels, enabling efficient analysis of large datasets.
Bioinformatics · Jun 19, 2024Peer-reviewedBioinformatics