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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