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SDePER is a two-step hybrid machine learning and regression method considering platform effect, spatial information and sparsity in deconvolution of spatial transcriptomic data using reference single-cell RNA sequencing data. It's also able to impute cell type compositions and gene expression at enhanced resolution.
Home Page: https://az7jh2.github.io/SDePER/
License: MIT License