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Author

Kwangmoon Park

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Preprint Sep 2026

Statistical Inference for Causal Discovery under Selection and Latent Variables via Single-Target Interventions

This work develops a model-free and constraint-query optimal statistical inference framework for causal discovery under latent variables and selection using single-target interventions, and introduces the system-induced subgraph (SIS) to capture the causal relations among system variables while accounting for context v...

Xiao-Tian Hou, Kwangmoon Park, Hong-Zhe Li · 0 citations
Open access Jul 2026

Multi-omic data integration improves the resolution of the molecular etiology of autism in a mouse model.

RNA-sequencing, 3-dimensional protein-centric chromatin conformation, and whole genome DNA methylation sequencing approaches are used to investigate hippocampal tissue from an ASD mouse model to determine if multi-omic data integration improves the resolution of key molecular pathways contributing to the complex ASD ph...

Carolina D Alberca, Kwangmoon Park, Ligia A. Papale et al. · 0 citations

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