Interpretable AI for inference of causal molecular relationships from omics data
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DOI: 10.1126/sciadv.adk0837
Abstract: The discovery of molecular relationships from high-dimensional data is a major open problem in bioinformatics. Machine learning and feature attribution models have shown great promise in this context but lack causal interpretation. Here, we show… read more here.
Keywords: causal molecular; inference causal; interpretable inference; causal ... See more keywords