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Table 4 Comparison of module identification methods using experimental using scRNA-seq datasets

From: ModularBoost: an efficient network inference algorithm based on module decomposition

Methods SCODE PrE SCODE MEF SCODE DE
ICA-FDR 0.244 0.215 0.272
ICA-FDR2 0.241 0.210 0.141
ICA-zscore 0.233 0.257 0.267
PCA decomposition 0.100 0.180 0.216
K-means 0.102 0.138 0.129
  1. \(F_{rr}\) indexes were computed by four decomposition based methods and K-means clustering