Niklas Kempynck

We would love to hear your feedback, so feel free to try it out and let us know what you think! We are working towards a preprint, and are still continuously updating the package. [9/9]

To see CREsted models in action, check out this preprint where we collaborated with the @AllenInstitute and applied CREsted to investigate in vivo cortical enhancer predictions: biorxiv.org/content/10.110… [8/9]

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]

Nikolai Hecker, @niklaskemp & colleagues @steinaerts pioneer the use of multi-omics & deep learning models of the chicken brain to shed light on amniote evolution. @RodriSenovilla highlights this innovative work in his latest preLight. Check it out! ⬇️👀prelights.biologists.com/highlights/enh…

Watch the #SpatialOmics24🎦pitch by Nikolai Hecker of the @steinaerts lab at @_VIB_AI. In it, he reveals the similarities between the bird and mammalian telencephalon using spatial #transcriptomics and #singlecell #multiomics-derived enhancer codes.

Finally, we would like to sincerely thank all our co-authors, with a special acknowledgement to @David_Mauduit, @DarinaAbaffy and Roel Vandepoel who played integral parts in this project, and our PI, @steinaerts, for providing guidance throughout its entire duration. [14/n]

Dive into our models and their applications for enhancer code exploration here: github.com/aertslab/DeepB…. [13/n]

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…