220-iSCALE: Spatial Transcriptomics for Large Tissues
The paper introduces iSCALE, an innovative machine learning framework designed to significantly enhance spatial transcriptomics (ST) analysis for large tissue samples, overcoming the size and resolution constraints of conventional platforms. iSCALE achieves this by integrating gene expression data from multiple small ST sections (daughter captures) with large-scale histology images (mother images) to predict super-resolution gene expression across the entire tissue. Through comprehensive benchmarking on gastric cancer and normal tissues, the authors demonstrate that iSCALE accurately…
The skinny
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