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Table 1 Final autoencoder (AE) and adversarial variational autoencoder (AVAE) performance on the test and validation set

From: Exploring combinations of dimensionality reduction, transfer learning, and regularization methods for predicting binary phenotypes with transcriptomic data

 

Reconstructed

Generated

MSE

R-difference95th

KL

MSE

R-difference95th

KL

AE

Test

0.0965

0.0310

–

–

–

–

Validation

0.0966

0.0305

–

–

–

–

AVAE

Test

0.1968

0.0922

0.1071

–

0.1256

0.1028

Validation

0.1971

0.0927

0.1035

–

0.1266

0.1032

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BMC Bioinformatics

ISSN: 1471-2105

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