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Table 1 Hypermarameters used in the model

From: Similarity-assisted variational autoencoder for nonlinear dimension reduction with application to single-cell RNA sequencing data

Hyperparameters

Datasets

Synthetic

MNIST

Cortex

PBMC

Retina

Heart cell atlas

Distribution

Gaussian

Binoimal

NB

NB

NB

NB

Latent dimension

2

10

10

10

10

10

Hidden dimension

20

512

512

512

512

512

Weight \(\lambda\)

\(10^{3}\)

\(10^{3}\)

\(10^{3}\)

\(10^{3}\)

\(10^{3}\)

\(10^{3}\)

Iteration ratio I

5

5

5

5

5

5

Covariate effects

No

No

No

No

Yes

Yes

(CVAE) Hidden dimension

None

None

None

None

128

128

  1. The choice of \(\lambda\) and I is discussed on Additional file 1: section C