iiinova — where your digital self keeps evolving

Yushi Tang

@yushifelixtang.bsky.social

Statistical genomics | Causal inference | Human genetics | Molecular ecology | PhD candidate in Storey Lab @ Princeton University

Posts Replies Media

Yushi Tang @yushifelixtang.bsky.social · 14/01/2026

Happy to share our recent work published in Genetic Epidemiology. By developing a formal causal inference framework, we provide a rigorous theoretical foundation for an intuition that has long guided the field. doi.org/10.1002/gepi...

040

Reposted by Yushi Tang

bioRxiv Genetics @biorxiv-genetic.bsky.social · 30/12/2024

Coancestry superposed on admixed populations yields measures of relatedness at individual-level resolution www.biorxiv.org/content/10.1101/202…

0114

Yushi Tang @yushifelixtang.bsky.social · 12/12/2024

Delighted to introduce our work on causal inference for genotype-phenotype analyses, with some thoughts about randomization in genetics www.biorxiv.org/content/10.1...

biorxiv.org

Identifying causal genotype-phenotype relationships for population-sampled parent-child trios

The process by which genes are transmitted from parent to child provides a source of randomization preceding all other factors that may causally influence any particular child phenotype. Because of th...

0102

Reposted by Yushi Tang

Rui Yang @ruiyang.bsky.social · 26/11/2024

Happy to share HiC2Self, a self-supervised tool for denoising bulk and single-cell Hi-C contact maps! www.biorxiv.org/content/10.1...

biorxiv.org

HiC2Self: self-supervised denoising for bulk and single-cell Hi-C contact maps

Hi-C is a chromosome conformation capture assay used to study 3D genome organization. The recent development of single-cell Hi-C technologies has further enabled the examination of 3D chromatin organi...

122