🎉 Happy to share our new work SpaCEy, now available🧬 SpaCEy is an explainable method for learning clinically relevant spatial tissue organization directly from spatial omics data—without predefined cell types or regions. 📄 Paper: www.biorxiv.org/content/10.6... 💻 Code repo: github.com/saezlab/SpaCEy

Over the past 3 years, we led a fantastic @wellcomeleap.bsky.social collaboration w. @oliverstegle.bsky.social, Behjati, Mall, Mair, @jamesbriscoe.bsky.social & @juliosaezrod.bsky.social labs. We created a massive multiomic atlas & new comp models to discover human GB biology www.gbmspace.org

🧠 Excited to share my main PhD project! We mapped the regulatory rules governing Glioblastoma plasticity using single-cell multi-omics and deep learning. This work is part of a two-paper series with @bayraktarlab.bsky.social @oliverstegle.bsky.social and @moritzmall.bsky.social, Preprint at end🧵👇