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Table 1 Disentanglement metrics for two splatter-simulated single-cell RNA-seq datasets with four ground truth variables

From: MichiGAN: sampling from disentangled representations of single-cell data using generative adversarial networks

  

Spearman correlation gap ↑

FactorVAE metric ↑

MIG ↑

Linear step

PCA

0.68 ±0.00

0.35 ±0.01

0.54 ±0.00

 

VAE

0.3 ±0.04

0.4 ±0.02

0.48 ±0.13

 

β-TCVAE

0.18 ±0.05

0.48 ±0.03

0.72 ±0.02

Non-linear step

PCA

0.72 ±0.00

0.35 ±0.01

0.55 ±0.00

 

VAE

0.27 ±0.07

0.41 ±0.02

0.43 ±0.08

 

β-TCVAE

0.16 ±0.06

0.51 ±0.04

0.66 ±0.16

  1. The mean and standard deviation over 5 runs are presented for each method. The dimensionality of the latent space was 10 for all three approaches