MisTIC: Missegmented Transcript Inference Correction for Improved Spatial Transcriptomics Analysis.

ABSTRACT: Imaging-based spatially resolved transcriptomics (SRT) technologies, such as 10X Xenium, MERSCOPE, and CosMx, have revolutionized our ability to study gene expression within the spatial context of tissues at single-cell resolution. The acquisition of such data relies heavily on cell segmentation algorithms, which often produce imperfect boundaries, leading to transcript misassignment. These misassignments can significantly affect downstream analyses, including cell type identification, differential expression analysis, cell-cell communication, and RNA localization. We present MisTIC (Missegmented Transcript Inference Correction), a variational Bayesian model designed to correct transcript misassignment errors without requiring resegmentation. In benchmarking analyses using synthetic data w

SUBMITTER: Yang Y 

PROVIDER: S-EPMC12724677 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature