Jingyi Jessica Li
@jsb-ucla.bsky.social
Professor & Program Head, Biostatistics, Fred Hutch | Donald and Janet K. Guthrie Endowed Chair in Statistics | Affiliate Professor, UW Biostat | Research: statistical methods for biomedical science, with a focus on rigor & reproducibility
🔗 jsb.ucla.edu
🔗 jsb.ucla.edu
1/3 Metacells boost power in single-cell RNA-seq & multiome analysis. But without checking homogeneity, they risk forming dubious metacells that bias discoveries.
We introduce mcRigor: a statistical safeguard for rigorous metacell analysis.
👉 www.nature.com/articles/s41...
We introduce mcRigor: a statistical safeguard for rigorous metacell analysis.
👉 www.nature.com/articles/s41...
mcRigor: a statistical method to enhance the rigor of metacell partitioning in single-cell data analysis - Nature Communications
Aggregating similar single cells into metacells is a common heuristic for sparse data, but risks mixing dissimilar cells. Here, authors present mcRigor, which detects and filters heterogeneous metacells, optimizes metacell partitioning, and improves reliability in single-cell omics studies.
www.nature.com
October 9, 2025 at 5:53 PM
1/3 Metacells boost power in single-cell RNA-seq & multiome analysis. But without checking homogeneity, they risk forming dubious metacells that bias discoveries.
We introduce mcRigor: a statistical safeguard for rigorous metacell analysis.
👉 www.nature.com/articles/s41...
We introduce mcRigor: a statistical safeguard for rigorous metacell analysis.
👉 www.nature.com/articles/s41...
Excited to share our method ClipperQTL published in Genome Biology.
Built on our p-value-free FDR control framework Clipper, ClipperQTL performs on par with FastQTL and runs up to 500× faster.
Big thanks to my former PhD student Heather Zhou!
genomebiology.biomedcentral.com/articles/10....
#eQTL
Built on our p-value-free FDR control framework Clipper, ClipperQTL performs on par with FastQTL and runs up to 500× faster.
Big thanks to my former PhD student Heather Zhou!
genomebiology.biomedcentral.com/articles/10....
#eQTL
ClipperQTL: ultrafast and powerful eGene identification method - Genome Biology
A central task in expression quantitative trait locus analysis is to identify cis-eGenes, i.e., genes whose expression levels are regulated by at least one local genetic variant. Existing cis-eGene id...
genomebiology.biomedcentral.com
July 18, 2025 at 7:16 AM
Excited to share our method ClipperQTL published in Genome Biology.
Built on our p-value-free FDR control framework Clipper, ClipperQTL performs on par with FastQTL and runs up to 500× faster.
Big thanks to my former PhD student Heather Zhou!
genomebiology.biomedcentral.com/articles/10....
#eQTL
Built on our p-value-free FDR control framework Clipper, ClipperQTL performs on par with FastQTL and runs up to 500× faster.
Big thanks to my former PhD student Heather Zhou!
genomebiology.biomedcentral.com/articles/10....
#eQTL
I’m honored to join Fred Hutch as Professor and Program Head of Biostatistics, and as the Donald and Janet K. Guthrie Endowed Chair in Statistics. Excited to be part of a deeply collaborative and scientifically vibrant community with a rich legacy of impact. @fredhutchbiostat.bsky.social
June 30, 2025 at 3:04 PM
I’m honored to join Fred Hutch as Professor and Program Head of Biostatistics, and as the Donald and Janet K. Guthrie Endowed Chair in Statistics. Excited to be part of a deeply collaborative and scientifically vibrant community with a rich legacy of impact. @fredhutchbiostat.bsky.social
I’ll speak on July 16 (2:30pm ET) at NSF@75: Advancing Statistical Science for a Data‑Driven World Conference, by ASA & Instats
My talk is about an info-theoretic criterion (ITCA) for combining ambiguous class labels: jmlr.org/papers/v23/2...
Free registration: instats.org/seminar/nsfa...
My talk is about an info-theoretic criterion (ITCA) for combining ambiguous class labels: jmlr.org/papers/v23/2...
Free registration: instats.org/seminar/nsfa...
A universally consistent learning rule with a universally monotone error
jmlr.org
June 17, 2025 at 4:39 PM
I’ll speak on July 16 (2:30pm ET) at NSF@75: Advancing Statistical Science for a Data‑Driven World Conference, by ASA & Instats
My talk is about an info-theoretic criterion (ITCA) for combining ambiguous class labels: jmlr.org/papers/v23/2...
Free registration: instats.org/seminar/nsfa...
My talk is about an info-theoretic criterion (ITCA) for combining ambiguous class labels: jmlr.org/papers/v23/2...
Free registration: instats.org/seminar/nsfa...
@guggfellows.bsky.social I’m deeply honored to be named a 2025 Guggenheim Fellow—especially as part of the Foundation’s historic 100th class. Grateful to be in the company of so many brilliant artists, scholars, and scientists. #guggfellows2025
April 15, 2025 at 2:15 PM
@guggfellows.bsky.social I’m deeply honored to be named a 2025 Guggenheim Fellow—especially as part of the Foundation’s historic 100th class. Grateful to be in the company of so many brilliant artists, scholars, and scientists. #guggfellows2025
How do we detect spatially variable genes (SVGs) in spatial transcriptomics?
In our Nature Communications review, we categorize 34 computational methods into three categories:
✅ Overall SVGs
✅ Cell-type-specific SVGs
✅ Spatial-domain-marker SVGs
www.nature.com/articles/s41...
In our Nature Communications review, we categorize 34 computational methods into three categories:
✅ Overall SVGs
✅ Cell-type-specific SVGs
✅ Spatial-domain-marker SVGs
www.nature.com/articles/s41...
Categorization of 34 computational methods to detect spatially variable genes from spatially resolved transcriptomics data - Nature Communications
In spatial transcriptomics data analysis, identifying spatially variable genes (SVGs) is crucial for understanding tissue organization and function. The authors categorize 34 computational methods for...
www.nature.com
February 5, 2025 at 7:50 PM
How do we detect spatially variable genes (SVGs) in spatial transcriptomics?
In our Nature Communications review, we categorize 34 computational methods into three categories:
✅ Overall SVGs
✅ Cell-type-specific SVGs
✅ Spatial-domain-marker SVGs
www.nature.com/articles/s41...
In our Nature Communications review, we categorize 34 computational methods into three categories:
✅ Overall SVGs
✅ Cell-type-specific SVGs
✅ Spatial-domain-marker SVGs
www.nature.com/articles/s41...