
๐๐ฎ๐ท๐ฐ ๐๐ฎ ไฝ้ตฌ
@PengHeAtlas
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bioinformatics for multiomeโspatialโsingle-cell; developmentโdisease; Assistant professor at UCSF; Tweets๐own; BlueSky: https://t.co/5yOclEVU7u Mastodon:penghe
San Francisco, CA
Joined January 2013
RT @KexinHuang5: ๐งฌ Excited to open-source Biomni! With just a few lines of code, you can now automate biomedical research with AI agent!. Wโฆ.
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Great paper proposing a graph/neighborhood-based way to supplement current metrics in single-cell integration benchmarking. Excited to see our fetal lung cell atlas used to guide metric evaluation. Biology is continuousโand so should be our thinking, including in AI. ๐๐งฌ๐ค.
Defining โwhat is goodโ is central to both AI and Science. Despite massive efforts towards building the Virtual Cell, our recent @NatureBiotech article reflects on whether current gold standards (i.e., evaluation metrics) still hold up.
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RT @KexinHuang5: ๐ข Introducing Biomni - the first general-purpose biomedical AI agent. Biomni is built on the first unified environment foโฆ.
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RT @SikkemaLisa: 1/7 Planning to build a single-cell atlas? Or wondering how atlases can be useful to your research? Read our guide on singโฆ.
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Great opportunity!.
We are hiring! Join us in building virtual embryo models โ an ambitious and exciting mission that goes beyond the widely acclaimed โvirtual cellโ initiative! ๐จ. Are you a technology developer, developmental biologist, or machine learning expert interested in creating predictive,
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RT @s_h_saunders: Please help me amplify a special faculty search. We're looking for someone in "Microbial Systems Biology" to join me andโฆ.
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RT @MartinUCSF: Are you interested in "skipping the postdoc" and starting your independent lab in biomedical research as a fellow?. Check oโฆ.
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And kudos to the co-drivers of the project David Horsfall,.@Muzz_Haniffa and Daniela Basurto-Lozada.for finishing the paper!.
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PS please check out a complementary visualization tool here:
Using the ๐ spatial transcriptomics feature in CZ #CellxGene, we reproduced the key finding of a study from @PengHeAtlas in the Teichmann lab showing transcriptionally + spatially distinct mesenchyme populations in the autopod. Explore the dataset โก๏ธ
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PS. Please also check out another amazing tool here:
Happy to see the final version online! Great visualization tool developed by @bayraktar_lab and led by @BioinfoTongLI #team #Science.
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Can't emphasize enough that this is a great platform. Really appreciate the effort of everyone (CZI Cellxgene team and @martinprete for developing the features, as well as my student Weimin Lin and HCA Lattice for formatting the data).
Using the ๐ spatial transcriptomics feature in CZ #CellxGene, we reproduced the key finding of a study from @PengHeAtlas in the Teichmann lab showing transcriptionally + spatially distinct mesenchyme populations in the autopod. Explore the dataset โก๏ธ
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Happy to see the final version online! Great visualization tool developed by @bayraktar_lab and led by @BioinfoTongLI #team #Science.
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Very happy to have contributed to showcasing the ๐ features of this incredible platform ๐, dedicated to making basic single-cell/nucleus and๐บ๏ธspatial transcriptomics analysis accessible to everyone, regardless of programming skills ๐ป!!.
We were able to quickly reproduce key findings from @PengHeAtlas of the @teichlabโs new work on human limb development using CZ #CellxGeneโs new spatial features. Give it a try and, as always, please let us know what you think
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๐จ๐๐ ๐๐๐ job opportunity @UCSF ๐จ:.I'm hiring TWO postdocs - an experimentalist and a computational biologist. Join us to use cutting-edge single-cell and spatial technologies to unravel the mysteries of human tissues.
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RT @CDominguezConde: ๐ข#PhD position available in the CDC lab focused on modelling the effect of genetic variation on T cell development andโฆ.
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