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Table 2 Multi-modality integration simulation with MNIST dataset

From: Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis

Modalities

Random Erasing (S1)

Gaussian Noise (S2)

ACC

Precision

Recall

ACC

Precision

Recall

X1

0.942 ± 0.004

0.942 ± 0.004

0.942 ± 0.004

0.884 ± 0.003

0.886 ± 0.003

0.884 ± 0.003

X2

0.942 ± 0.003

0.943 ± 0.003

0.942 ± 0.003

0.879 ± 0.005

0.881 ± 0.005

0.879 ± 0.005

ConcatAE(X1 + X2)

0.962 ± 0.001

0.963 ± 0.001

0.962 ± 0.001

0.924 ± 0.001

0.925 ± 0.002

0.924 ± 0.001

CrossAE(X1 + X2)

0.962 ± 0.002

0.962 ± 0.002

0.962 ± 0.002

0.933 ± 0.002

0.933 ± 0.002

0.933 ± 0.002