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Fig. 6 | BMC Medical Informatics and Decision Making

Fig. 6

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

Fig. 6

Similarity measure with Euclidean distance of the paired hidden features. We measure the similarity of paired hidden features with the Euclidean distance. a Grouped violin plots of the Euclidean distances for hidden features represented from PCA features. b Grouped violin plots of the Euclidean distances for hidden features represented from high variance features. c Grouped bar plots of the average Euclidean distances for hidden features represented form PCA features. d Grouped bar plots of the average Euclidean distances for hidden features represented from high variance features. Yellow: ConcatAE. Blue: CrossAE

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