내가 좋아할 만한 콘텐츠
🧬🔮 Single cell foundation models have been a recent hot topic in bio-ML! A few of the recent methods and some thoughts 🧬🔮 1) Geneformer 2) scGPT 3) scFoundation 4) Exceiver
Arc is hiring a unique role to lead the Virtual Cell Challenge. In its first year the Challenge has already attracted participation from thousands of top bio AI researchers and support from sponsors like NVIDIA. We need someone to help us make this annual competition historically…
Massive, clean Pertub-seq dataset. 8M cells, 2 cell types, deeply sequenced. 🧬🪩 👏
Virtual Cell community - this one's for you! X-Atlas/Orion is now live on Hugging Face. Train your own models with streamlined workflows built into the Hugging Face API. 🔗 HuggingFace: huggingface.co/datasets/Xaira… 📜 License: cc-by-nc-sa-4.0
Awesome 👏🏼👏🏼
Welcome to the age of generative genome design! In 1977, Sanger et al. sequenced the first genome—of phage ΦX174. Today, led by @samuelhking, we report the first AI-generated genomes. Using ΦX174 as a template, we made novel, high-fitness phages with genome language models. 🧵
*using the ctrl pop as a ref biases perturbation effects to be poorly distinguishable* a new study by @mariabrbic's lab reaches the same conclusion as the @ShiftBioscience study I highlighted recently 👏 ...with an nice fwd comment on model "utility" 😎 x.com/mariabrbic/sta…
What is the state of research on the emerging grand challenge of virtual cell modeling? 1/n open.substack.com/pub/behindbiom…
The biggest challenge for AI in biology isn't just models, it's the data used to train them. Standard biological data isn't built for AI. To unlock generative AI for drug discovery, we must rethink how we generate and capture data. 1/
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