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st2traj: deconvolution-informed trajectory inference for multi-timepoint spatial transcriptomics
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DOI：10.1093/bioinformatics/btag645.png)
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Abstract
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Multi-timepoint spatial transcriptomics enables study of developmental processes in native tissue context, but cell-state mixtures within spots and lack of direct spatial correspondence across sections complicate trajectory inference and biological interpretation.
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