For those interested in studying cell-cell communication, check out our latest methodological work in AJHG where we discuss more powerful and practical techniques for this task. Project was joint effort with @yjingj.bsky.social and led by our incredible trainee Dr. Qile Dai (now at Lilly)
Excited to see our (w/ @chr1sw.bsky.social) work published in @natcomputsci.nature.com! We developed a new framework, surrogate functional false discovery rate (sffdr), that integrates summary statistics of related traits to improve power in GWASs.
Paper: www.nature.com/articles/s43...
I'm hiring a computational biologist interested in complex trait genetics using deep learning approaches. Reach out to me, if interested.
RIP, Prince of Darkness. Arguably in the Top 5 of most influential artists of my lifetime
🧬Online now!
📄Identifying condition-related cell-cell communication events using supervised tensor analysis
🧑🤝🧑 @epsteinstatgen.bsky.social @yjingj.bsky.social & Dai
🖥️ github.com/daiqile96/ST...
Happy to see this out w/ @epsteinstatgen.bsky.social and @davecutler.bsky.social (paper: doi.org/10.1093/bioi...)! We tackled the problem of identifying dysregulated pathways (i.e. differentially co-expressed) in gene expression studies. We show that differential co-expression arises ...
Where’s the White Russian?
Our new AJHG paper is online. We develop a new TWAS tool that uses local-ancestry information to improve power of gene mapping in admixed samples. Lead author Taylor Head (now at MD Anderson) did a phenomenal job spearheading this work!
This study introduces a cost-effective strategy called surrogate functional false discovery rates to increase power in genome-wide association studies by leveraging genetic correlations (or pleiotropy...
Cell-cell communication (CCC) events coordinate physiological functions in multicellular
organisms and are important for exploring biological processes and disease mechanisms.
We introduce STACCato, a...
