GraphPCA: a fast and interpretable dimension reduction algorithm for spatial transcriptomics data
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DOI: 10.1186/s13059-024-03429-x
Abstract: The rapid advancement of spatial transcriptomics technologies has revolutionized our understanding of cell heterogeneity and intricate spatial structures within tissues and organs. However, the high dimensionality and noise in spatial transcriptomic data present significant challenges… read more here.
Keywords: reduction algorithm; spatial transcriptomics; graphpca fast; dimension reduction ... See more keywords