Happy to share the final version of our #GAGEseq published today Nature Genetics! The single-cell co-assay for #scHiC and #scRNA reveals 3D genome & gene expression interplay in mouse cortex (also integration w/ #MERFISH) and during human hematopoiesis. 1/3 nature.com/articles/s4158…

New in Nature Methods: Researchers from @UMichSPH and Brown University have developed a new computational method to analyze complex tissue data which could transform our current understanding of diseases and how we treat them. Read more: myumi.ch/bEqpb Brown Biostatistics

Ying Ma is one of the developers! Brown University School of Public Health

CCMB professor Ying Ma was recently published in Nature Methods! Check out her paper: nature.com/articles/s4159…

Researchers have developed a new machine learning and AI method to analyze complex tissue data that could transform our current understanding of diseases and how we treat them. Brown Biostatistics University of Michigan School of Public Health Ying Ma sph.brown.edu/news/2024-06-0…

Congratulations!🎉🎊🎈🍾

Thanks to my colleagues at Brown Data Science Institute for making this wonderful video! I’m deeply grateful for the support from Brown Biostatistics, CCMB at Brown, and Brown Data Science Institute. Working here is fantastic, thanks to the collaborative environment and cutting-edge research opportunities!!!

CCMB is pleased to announce Emilia Huerta as our new CCMB Director! "As Director, I am excited to work alongside trainees, faculty, and staff to sustain and further enhance our remarkable CCMB community." Read more: ccmb.brown.edu/news/2024-07-1…

Excited to chair the session, which will start soon at 2 PM in Room CC-258. Looking forward to the discussions ahead!

Our review paper on transformers in single-cell analysis Nature Methods is out! Great collaboration with Fabian Theis ‘s group! Congratulations to all the co-authors and particularly shoutout to Artur Szałata for his leadership in this project! More details can be seen 👇

Insightful work! Definitely a must read! Congratulations!

Thrilled to announce that I’m joining Purdue Statistics Department and Purdue Biological Sciences as a tenure-track assistant professor! Excited for the journey ahead and to contribute to such a vibrant academic community.

🎉🎉🎉Congratulations Mingyao Li !

Over-clustering of single-cell RNA-seq data can produce spurious results. Alan DenAdel, Lorin Crawford, & co of AJHG latest study introduce recall, a new method, protecting against over-clustering & enables rapid analysis of single-cell RNA-seq data: cell.com/ajhg/abstract/…

Thank you so much for joining our session and for giving such a wonderful talk. I also want to thank all the speakers Mingyao Li Wei Sun Ben Raphael in our invited paper session at JSM 2025. It was a great discussion and a pleasure to learn from everyone.

It was a pleasure to write this piece in Nature Methods on GHIST & iSCALE. These two methods transform H&E histology into molecular maps, predicting gene expression at single-cell and whole-slide resolution, expanding spatial omics at scale!