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.
MOLI: multi-omics late integration with deep neural networks for drug response prediction,
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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.