Deep learning for single-cell Gene Regulatory Networks - aertslab/deepSCENIC

This Review discusses how rare-disease-causing variants in the noncoding genome impact gene regulation, why these examples are so few and how new approaches could accelerate discovery of noncoding var...

The Flanders Nanopore Day - April 17th, 2026

Chart tumour evolution using cutting-edge long-read and single-cell multiomics Who we are The Integrative Cancer Genomics lab (Jonas Demeulemeester) is embedded within the VIB – KU Leuven Center for ...

Generating high-quality training data for machine learning is costly. Here, authors include sequence-to-function modeling in benchmarking of custom and commercial droplet-based scATAC platforms, and r...

YouTube video by VIB-KU Leuven Center for Neuroscience

The Flanders Nanopore Day - April 17th, 2026

Chart tumour evolution using cutting-edge long-read and single-cell multiomics Who we are The Integrative Cancer Genomics lab (Jonas Demeulemeester) is embedded within the VIB – KU Leuven Center for ...

Enhancers are genomic elements critical for regulating gene expression. In this Review, the authors discuss how sequence-to-function models can be used to unravel the rules underlying enhancer activit...

Combinations of transcription factors govern the identity of cell types, which is reflected by genomic enhancer codes. We used deep learning to characterize these enhancer codes and devised three metr...