Fig. 2 | Scientific Reports

Fig. 2

From: scGAA: a general gated axial-attention model for accurate cell-type annotation of single-cell RNA-seq data

Fig. 2

Comparison of cell type annotation capabilities of different models. (a) Histogram of average accuracy of each cell type annotation model in different data sets. (b) Macro F1 Score heat map of each cell type annotation model in different data sets. (c) In different data sets, the box plot of the accuracy of predicting each cell type by each cell type annotation model. (d) Correlation matrix clustering heat map of predicted results and true results of scGAA model on liver data set. (e) Heatmap of prediction accuracy for all cell types in the heart dataset across different models. (f) Cell type annotation results of the scGAA model for the heart dataset.

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