@alitugrulbalci.bsky.social
Reposted
✨New preprint!✨
We built dLEM - a differentiable Loop Extrusion Model that bridges biophysics and machine learning for 3D genome folding.
dLEM makes loop extrusion learnable and interpretable—predicting how genomes fold and how they respond to perturbations.
🧵
We built dLEM - a differentiable Loop Extrusion Model that bridges biophysics and machine learning for 3D genome folding.
dLEM makes loop extrusion learnable and interpretable—predicting how genomes fold and how they respond to perturbations.
🧵
Mechanistic Genome Folding at Scale through the Differentiable Loop Extrusion Model https://www.biorxiv.org/content/10.1101/2025.10.17.682904v1
October 21, 2025 at 1:51 PM
✨New preprint!✨
We built dLEM - a differentiable Loop Extrusion Model that bridges biophysics and machine learning for 3D genome folding.
dLEM makes loop extrusion learnable and interpretable—predicting how genomes fold and how they respond to perturbations.
🧵
We built dLEM - a differentiable Loop Extrusion Model that bridges biophysics and machine learning for 3D genome folding.
dLEM makes loop extrusion learnable and interpretable—predicting how genomes fold and how they respond to perturbations.
🧵