Fig. 7 | Scientific Reports

Fig. 7

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

Fig. 7

Comparison of computational efficiency and model performance of TOSICA, scGAA methods. (a) The graph shows the accuracy (Train_Acc) versus the number of training rounds (Epoch) for both the TOSICA and the scGAA models. (b) The figure shows the graphs of training loss (Train_Loss) versus the number of training rounds (Epoch) for the TOSICA and scGAA models. (c) The figure shows the graphs of accuracy (Train_Acc) versus training time (Time) for TOSICA and scGAA models.(d) The graph is a plot of the training loss (Train_Loss) versus training time (Time) for the TOSICA and scGAA models.

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