Multiscale Cell-Cell Interactive Spatial Transcriptomics Analysis.

ABSTRACT: Spatial transcriptomics data analysis integrates gene expression profiles with their corresponding spatial locations to identify spatial domains, infer cell-type dynamics, and detect gene expression patterns within tissues. However, the current spatial transcriptomics analysis neglects the multiscale cell-cell interactions that are crucial in biology. To fill this gap, multiscale cell-cell interactive spatial transcriptomics (MCIST) analysis is proposed. MCIST combines the advantages of an ensemble of multiscale topological representations of cell-cell interactions in the gene expression space with those of cutting edge spatial deep learning techniques. MCIST is validated by a comparison of 14 cutting-edge methods on a huge collection of 37 benchmark spatial transcriptomics datasets. It is

SUBMITTER: Cottrell S 

PROVIDER: S-EPMC12667549 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature