In a study published in Nature Methods, a research team led by Prof. Qu Kun from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences has benchmarked 16 spatial and single-cell transcriptomics integration methods for transcript distribution prediction and cell type deconvolution.
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Source: Phys.org