Good to see moscot-tools.org published in @nature.com ! We made existing Optimal Transport (OT) applications in single-cell genomics scalable and multimodal, added a novel spatiotemporal trajectory inference method and found exciting new biology in the pancreas! tinyurl.com/33zuwsep

📢 Calling all researchers! The #LMRL workshop is now accepting paper submissions! 🧬✨ 🎯 Showcase complete works / early-stage ideas 💡 via your chance to inspire & connect with a non-traditional AIxBio #ICLR2025 audience 🌍 👉 Help us spread the word of lmrl.org 🙌

Our paper on Self-Supervised Learning in Single-Cell Genomics is out in Nature Portfolio Machine Intelligence! 🙌 🧬🤖 Big thank you to my co-authors Mojtaba Bahrami, Yufan Xia, @davidsebfischer.bsky.social, and @fabiantheis.bsky.social . 👏 nature.com/articles/s42...

Come join us at LMRL at #ICLR2025 🚀

If diving into scientific papers isn’t on your pre-Christmas to-do list, @spiegel.de has you covered! 📰 They featured our Neural Organoid Atlas in a piece on the Human Cell Atlas and related advancements in machine learning. 🤖🧬 It’s a great overview of this exciting field and the work behind it.