Abstract Motivation Identifying transcriptomic factors with potential causal effects on breast cancer progression is important for understanding disease mechanisms and prioritizing therapeutic targets. However, causal-effect estimation from high-dimensional gene-expression data remains challenging because of the large...
TranCE (Transported Causal Effects), a doubly-robust algorithm combining an interventional outcome model, a domain density-ratio correction, and cross-fitted inference, is presented, which has the potential to improve intervention strategies in networked systems, particularly in social networks and public health.
Xiaojing Du, Jiuyong Li, Lin Liu et al.· 0 citations
This survey addresses hallucination mitigation through the lens of explainability, proposing a taxonomy that distinguishes between internal explainability and post hoc explainability and discusses the constructive role of hallucinations in creative and user‐driven applications.
Wentao Deng, Jiao Li, Hongyu Zhang et al.· WIREs Data Mining and Knowle...· 1 citation
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