ATAT: Automated Tissue Alignment and Traversal in Spatial Transcriptomics with Self-Supervised Learning
Steven Song, Emaan Mohsin, Renyu Zhang, Andrey Kuznetsov, Le Shen, Robert L. Grossman, Christopher R. Weber, Aly Azeem Khan
ATAT automates spatial transcriptomics analysis by aligning and traversing tissue samples using self-supervised learning, improving gene expression modeling without manual annotation.
bioRxiv · Dec 8, 2023 · PreprintBioinformatics