Additional file 1 of scCompressSA: dual-channel self-attention based deep autoencoder model for single-cell clustering by compressing gene–gene interactions
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https://springernature.figshare.com/articles/dataset/Additional_file_1_of_scCompressSA_dual-channel_self-attention_based_deep_autoencoder_model_for_single-cell_clustering_by_compressing_gene_gene_interactions/25720210
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Additional file 1. Evaluation metrics of replication experiments obtained by the scCompressSA and SOTA single-cell clustering approaches, including Seurat, SC3, scCAEs. Ten groups of benchmark scRNA-seq datasets with cell type labels have been employed in model comparison. Among these datasets, multiple PBMCs data from human were investigated in this study.
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figshare
创建时间：
2024-04-30
