2022-04-07 张泽民老师文章选读之SciBet as a portable and fast single cell type identifier 简书

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• C Training SciBet model by obtaining the parameters for the multinomial models of each cell type.
• All scRNA-seq datasets in this paper were obtained from their public accessions.

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We curated the cell label by unifying the major cell type annotated by different publications (e.g., considering both “T lymphoid cells” and “T cells” as “T cells”). We neglected the minor cell types, which means those novel subtypes uncovered by scRNA-seq with unsupervised clustering and annotation (e.g., considering both “DC_cluster1” and “DC_cluster2” as DC cells). For cross-validation benchmarks, we performed the classification using the function scmapCluster of scmap without considering the unassigned cells.

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