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Table 4 Median F1 of the eight scRNAseq data classifier and the four conventional classifiers tools on the four experiments (N = 1000)

From: Single-cell classification using graph convolutional networks

Training dataset BaronHuman + Muraro + Segerstolpe Xin + Muraro + Segerstolpe Xin + BaronHuman + Segerstolpe Xin + BaronHuman + Muraro
Testing dataset Xin BaronHuman Muraro Segerstolpe
sigGCN 0.993 0.976 0.957 0.989
FC 0.976 0.965 0.945 0.990
scID 0.991 0.98 0.976 0.994
scPred 0.923 0.231 0.912 0.725
CasTLe 0.974 0.916 0.966 0.988
SingleR 0.988 0.974 0.969 0.994
scmapcluster 0.133 0.001 0.001 0
scmapcell 0.415 0.232 0.353 0.241
ACTINN 0.982 0.977 0.957 0.989
RF 0.946 0.914 0.957 0.903
SVM-linear 0.986 0.972 0.952 0.986
SVM-rbf 0.963 0.97 0.958 0.952
KNN 0.766 0.74 0.504 0.602