1/ DNA sequence models like Borzoi predict gene expression and variant effects across tissues — but how can someone adapt the model to a custom experiment? @drkbio.bsky.social, Johannes Linder and I propose a solution via parameter-efficient fine-tuning (PEFT). www.biorxiv.org/content/10.1...

Parameter-Efficient Fine-Tuning of a Supervised Regulatory Sequence Model

DNA sequence deep learning models accurately predict epigenetic and transcriptional profiles, enabling analysis of gene regulation and genetic variant effects. While large-scale training models like E...

biorxiv.org

Working with a great team to organize @keystonesymposia.bsky.social AI in MolecularBiology, this September! We aimed for a wide range of biological topics, and emphasized speakers who blend sophisticated machine learning with compelling biological questions and analysis.

⚡️ Our latest preprint is on bioRxiv! Shift augmentation improves DNA convolutional neural network indel effect predictions www.biorxiv.org/content/10.1...

Shift augmentation improves DNA convolutional neural network indel effect predictions

Determining genetic variant effects on molecular phenotypes like gene expression is a task of paramount importance to medical genetics. DNA convolutional neural networks (CNNs) attain state-of-the-art...

biorxiv.org