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. 2024 Nov 1;7:0522. doi: 10.34133/research.0522

Table.

Comparison of the cell-type classification accuracy of eMCI and other existing methods in multiple datasets

Method datasets eMCI CaSTLe CHETAH clustifyr scmap-cluster scmap-cell
Lung 6 PCW 99.08% a 96.53% 92.92% 94.03% 93.74% 98.31%
Lung 7 PCW 99.10% a 98.66% 90.77% 97.14% 85.71% 98.26%
Lung 8 PCW 98.51% a 95.71% 94.88% 98.24% 90.44% 97.41%
Lung 8.5 PCW 98.29% a 96.44% 88.72% 96.45% 87.04% 96.67%
Lung 10 PCW 98.28% a 95.72% 94.05% 97.09% 82.97% 94.12%
Lung 11.5 PCW 98.83% a 98.36% 92.32% 98.58% 72.56% 96.74%
Lung 13 PCW 98.78% a 97.59% 89.56% 98.78% 87.85% 98.53%
Pancreas 12 PCW 94.48% a 87.62% 68.88% 85.73% 86.46% 91.27%
Pancreas 20 PCW 88.24% a 81.20% 79.55% 63.93% 87.95% 73.74%
PDAC 86.01% a 60.18% 64.20% 62.33% 82.95% 64.38%
BRCA 95.03% 95.12% 81.41% 91.64% 85.30% 95.87% a
a

The highest average accuracy over 10 iterations is marked by bold typeface.