SHAP feature rankings in multi-view deep learning models for multi-omics data are sensitive to architecture and random weight initialization, so important-biomolecule lists should be inspected across repeated runs.
(a) Separate 'views' or `omics types to be input to separate marginal networks
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Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics
SHAP feature rankings in multi-view deep learning models for multi-omics data are sensitive to architecture and random weight initialization, so important-biomolecule lists should be inspected across repeated runs.