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How can we evaluate Gene Regulatory Network? 🔍 I'll present our strategies today at #ISMBECCB2023 If you are interested come to poster 338

Are you at #ISMBECCB2023? Wanna hear about designing cell type specific enhancers guided by deep learning models? Visit my poster today (B-346) and my talk tomorrow (17h20) at ISCB RegSys COSI!

Beyond proud to share my first (co-)first author manuscript out today in #Nature, where we describe the inhibition of epithelial-to-mesenchymal transition (#EMT) by pharmacological targeting of netrin-1 (1/23) nature.com/articles/s4158…

Proud to announce our systematic scATAC-seq benchmark in Nature Biotechnology! The @steinaerts lab teamed up with Holger Heyn and 9 other labs/companies to investigate performance differences and possible fragment biases between current scATAC-seq methods. nature.com/articles/s4158… 1/n

So how did we, Adrian Ranga lab, manage to bring order to neural tube domains inside hPSC-derived human neural tube (NT) organoids? Read our newest story about local mechanical forces, you will find our approach to be very “attractive”. DOI: doi.org/10.1038/s41467…

Binnen één week is het zover: Dag van de Wetenschap! 👨‍🔬 Op welke activiteit(en) mogen we jou verwachten? dagvandewetenschap.be #DVDW2023

📣 We're excited to announce the opening of multiple faculty positions! Do you use and/or develop artificial intelligence methods and mechanistic mathematical models to address fundamental questions in biology? We'd love to hear from you. (Please share far and wide 🙏)

Exciting news! Our latest research on "Cell type directed design of synthetic enhancers" has been published in nature. We've harnessed deep learning to design enhancers with cell-type specificity. Find our paper here: nature.com/articles/s4158…. Highlights below: [1/n]

🤖🧬In a new breakthrough, the team of @steinaerts (VIB.AI, VIB-KU Leuven Center for Brain & Disease Research) designed an AI model to guide the creation of synthetic DNA sequences. The study enhances our understanding of gene regulation and holds great potential for gene therapy. Read more: vibbio.tech/3t5sZdv

Excited to announce our upcoming webinar on SCENIC+: a Python package for constructing enhancer-driven gene regulatory networks from single-cell multiomics data! Join us on March 26th, 5pm CET. Register here: forms.gle/cVP3tW17fnJY4b…

Very excited to announce our new preprint together with Nikolai Hecker! Dive into our findings on the conserved regulatory codes shaping cell identity across species. 🧬 [1/n] biorxiv.org/content/10.110…

Happy to share CREsted, our latest package on enhancer modeling! CREsted allows for training sequence-based deep learning models from scATAC-seq data, enhancer decoding and enhancer design through a variety of methods. Check out the GitHub here: github.com/aertslab/CREst…. [1/9]