Table 2 Leave-one-out cross-validation in subcutaneous adipose using 6 samples with snRNA-seq and bulk RNA-seq data available.

From: Accurate estimation of cell composition in bulk expression through robust integration of single-cell information

MethodRRMSD
Bisque0.923 ± 0.0640.074 ± 0.034
CIBERSORTx0.687 ± 0.4500.099 ± 0.046
MuSiC−0.111 ± 0.1820.427 ± 0.058
BSEQ-sc−0.113 ± 0.1800.432 ± 0.058
CIBERSORT−0.131 ± 0.1760.416 ± 0.059
  1. Proportions based on snRNA-seq were used as a proxy for the true proportions. Performance measured in Pearson correlation (R) and root-mean-square deviation (RMSD) across all 5 identified cell types in each sample. Reported values were averaged across the 6 samples with standard deviation indicated. Bold values indicate the highest performing method with respect to each metric. Source data are provided as a Source Data file.