Excited to share that our paper, “Somatic mutations distinguish melanocyte subpopulations in human skin,” is now out in Nature Cell Biology.
Reposting the thread below ⬇️
@aemonten The blue place is not really any better. LI is where I get the most scientific engagement these days, but it is not an ideal platform for many things
Heading to #ASCO this week and really looking forward to the energy and the science.
On a personal note, I’m proud to share some work my team is presenting this year. I want to briefly highlight why I think these results matter.
1/ Thrilled to share our new paper, out today in @ScienceMagazine! We built a pan-cancer spatial atlas of tertiary lymphoid structures (TLSs) and developed computation and AI frameworks to study TLS biology at scale.
https://t.co/zgcBnnm7Rl
@srikosuri One could go even further to account for differences in class difficulties, such as an ELO score -- similar to what they do in college sports to account for scheduling differences.
@SyedAAhmad5 This is misleading. The Kaplan-Meier curves represent physicians "in this study population that are not currently practicing (N = 521)". It helps compare men vs women who left but not overall rates of attrition
On Friday, I hosted a forum with the top 5 Democrats running for governor of California on how they'd fix the state's housing crisis. Some really interesting moments, including this one, from @katieporterca, on California Forever and master-planned communities.
Full forum on podcast apps/Youtube.
Excited to share SapiensOntoCellMap! 🚀 An open-source tool for ontology-aware, hierarchical cell type annotation of scRNA-seq and spatial transcriptomics data.
Built at @UCSF to solve a major gap: moving beyond simple labels to true biological context. 🧵👇
Excited to see this in print! Kudos to Haikuo, Bo, and the entire team including @MinaXu7@yalepathology@zhou_jingtian@arcinstitute to explore this clinically relevant area of lymphoma transformation with truly innovative technology. @theNCI#HTAN
https://t.co/mcQdE1Esny
@TheStalwart Yeah it's 70% human capital, 15% the food (underrated not overrated), 8% the subway, 6% that NYC is actually really pretty and 1% the Knicks when they're winning.
STmut can be downloaded here. https://t.co/kc1zjoM1X3. Thanks to @liminchen15 for creating the software and continually updating it to handle higher resolution spatial transcriptomics, as they are rolled out. Thanks to Vignesh Arunachalam for generating the present figures.