SynOmicsBench โ€” Automatic Benchmark Report

Synthetic data generation, ranked across fidelity, biological utility and privacy.

๐Ÿ† Most balanced method
Gaussian Copula
Total rank-derived score 5.61 โ€” lower is better
Methods
6
Seeds
5 (0, 1, 2, 3, 42)
Dimensions
8
Candidates ranked
30 (6ร—5)

Dimensions: Univariate, Bivariate, DGE, GSEA, ssGSEA, Cell Deconvolution, Survival Analysis, Privacy.
Multi-seed run โ€” 30 candidates ranked per dimension; each method's score is the mean rank of its own seeds. DGE, GSEA, Privacy collapsed to a per-method mean before ranking (manuscript-compatible).

1 ยท Per dimension

How each method performs on every individual metric.

rank heatmap
per-metric score bars
Per-metric scores (higher = better)
MethodUnivariateBivariateDGEGSEAssGSEACell DeconvolutionSurvival AnalysisPrivacy
Avatars K50.8570.9340.5880.3950.6810.5470.9200.848
Avatars K100.8430.9320.5790.4320.6330.5220.9250.853
CTGAN0.7670.9160.4750.1540.7180.2760.7740.848
Gaussian Copula0.8930.9380.6280.2780.8620.4610.9410.858
Synthpop0.9240.9250.5300.3080.7240.6500.7810.611
TVAE0.8020.9080.5640.5140.6490.3610.8490.839

2 ยท Per pillar

The eight dimensions roll up into three equally-weighted pillars: Broad Utility (fidelity), Narrow Utility (biology), and Privacy.

all-round radar
Pillar sub-scores & total (lower rank-derived score = better)
MethodBroad UtilityNarrow UtilityPrivacyTotal
Gaussian Copula1.8333.4400.3335.607
Avatars K105.0334.2272.00011.260
Avatars K53.6333.6805.33312.647
Synthpop3.5005.0408.66717.207
CTGAN8.4337.6933.66719.793
TVAE8.5675.3077.00020.873

3 ยท Overall meta-rank

Pillars combined into one balanced score. Lower = more balanced across utility and privacy.

composite stacked bar
Overall ranking (lower Total = more balanced)
#MethodTotal
1 ๐Ÿฅ‡Gaussian Copula5.607
2 ๐ŸฅˆAvatars K1011.260
3 ๐Ÿฅ‰Avatars K512.647
4 Synthpop17.207
5 CTGAN19.793
6 TVAE20.873