Model-based prediction of spatial gene expression via generative linear mapping
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DOI: 10.1038/s41467-021-24014-x
Abstract: Decoding spatial transcriptomes from single-cell RNA sequencing (scRNA-seq) data has become a fundamental technique for understanding multicellular systems; however, existing computational methods lack both accuracy and biological interpretability due to their model-free frameworks. Here, we… read more here.
Keywords: scrna seq; model based; generative linear; linear mapping ... See more keywords