New causal discovery algorithm over censored variables identifies subtype-specific drivers of breast cancer progression
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Many research domains are producing large, multi-scale, multi-modal datasets at growing rates with mixed variable types (continuous, discrete, censored). Identifying possible cause-effect associations in such datasets is essential for predicting outcomes and p... ...
