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363-PASTA: Accurate PAthway-oriented Spatial gene imputation

The paper details the development and validation of PASTA (PAthway-oriented Spatial gene impuTAtion), a novel computational framework designed to enhance spatial transcriptomics data. By integrating scRNA-seq reference data with cell type and spatial proximity information, this method accurately predicts unmeasured gene expressions at the biological pathway level. Unlike traditional techniques that focus on individual genes, PASTA aggregates signals from functionally related gene sets to reduce noise and provide more robust biological interpretations. The researchers demonstrate its…

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