TransST: transfer learning embedded spatial factor modeling of spatial transcriptomics data
<h4>Background</h4>Spatial transcriptomics have emerged as a powerful tool in biomedical research because of its ability to capture both the spatial contexts and abundance of the complete RNA transcript profile in organs of interest. However, limitations …
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