374-STAIR: 3D Reconstruction and Integration of ST Data
The paper introduces STAIR, a novel computational framework designed to reconstruct three-dimensional (3D) biological atlases from two-dimensional spatial transcriptomics (ST) data. Traditional methods often struggle with batch effects and unknown physical distances between tissue slices, but STAIR addresses these issues using a heterogeneous graph attention network that adaptively integrates molecular and spatial features. This end-to-end tool is uniquely capable of unsupervised z-axis reconstruction, allowing researchers to determine the relative positioning of slices without prior…
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