choiLab
@jungminchoilab
ID: 14878503
23-05-2008 06:30:20
6,6K Tweet
305 Followers
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Microglia-specific regulation of lipid metabolism in Alzheimer’s disease revealed by microglial depletion in 5xFAD Mice nature.com/articles/s4146… via John Lukens
scooby achieves DNA sequence-based single-cell level modeling of RNA-seq coverage and ATAC-seq insertion profiles by adapting a deep learning model that predicts bulk RNA-seq coverage. Johannes Hingerl Laura Martens (@lauradmartens.bsky.social) gagneurlab TU München nature.com/articles/s4159…
🤯 New in nature from MD Anderson Cancer Center colleagues Adam Grippin Steven H. Lin SARS-CoV-2 mRNA vaccines sensitize tumors to immune checkpoint blockade nature.com/articles/s4158…
Cells don’t just exist — they talk, signal, and collaborate. Our work GraphComm is now out in Scientific Reports ! With GraphComm, we’re teaching AI to listen in on this cellular conversation — a step closer to building the virtual cell. 🧬🤖 🧬 GraphComm is a graph-based deep
In this Orli Bahcall commentary, I reflect on an older paper from the Campbell group Wellcome Sanger Institute showing how normal skin is full cancer mutations yet stays healthy to highlight the opportunity to revisit this question using new spatial omics tech: nature.com/articles/s4157…
Nadav Shai Lindy McBride Thank you Nadav for sharing our work! Super excited for the upcoming studies 👀
Prof. Eric Topol at Helmholtz Munich: Exploring the Virtual Human 👉 t1p.de/5wthc Prof. Eric Topol, internationally renowned cardiologist, geneticist, and digital medicine expert, visited #HelmholtzMunich for a roundtable on the future of #AI in healthcare. ✨ The
Philip Mudd's group (Philip Mudd) has been hard at work bringing TIRTL-seq to WashU. Deep paired sequencing working with massive thanks to Mikhail Pogorelyy and Paul G Thomas. Preprint: biorxiv.org/content/10.110… GPU-optimized pairing algorithm: github.com/pogorely/TIRTL
Daniel Litt A paper by Babai on the topic from 1990. Section 16 is particularly on point. people.cs.uchicago.edu/~laci/papers/e…