ScGSLC: An unsupervised graph similarity learning framework for single-cell RNA-seq data clustering
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DOI: 10.1016/j.compbiolchem.2020.107415
Abstract: Accurate clustering of cells from single-cell RNA sequencing (scRNA-seq) data is an essential step for biological analysis such as putative cell type identification. However, scRNA-seq data has high dimension and high sparsity, which makes traditional… read more here.
Keywords: seq; similarity; scgslc; seq data ... See more keywords