ChromoGen: Diffusion model predicts single-cell chromatin conformations.

ABSTRACT: Breakthroughs in high-throughput sequencing and microscopic imaging technologies have revealed that chromatin structures vary considerably between cells of the same type. However, a thorough characterization of this heterogeneity remains elusive due to the labor-intensive and time-consuming nature of these experiments. To address these challenges, we introduce ChromoGen, a generative model based on state-of-the-art artificial intelligence techniques that efficiently predicts three-dimensional, single-cell chromatin conformations de novo with both region and cell type specificity. These generated conformations accurately reproduce experimental results at both the single-cell and population levels. Moreover, ChromoGen successfully transfers to cell types excluded from the training data using

SUBMITTER: Schuette G 

PROVIDER: S-EPMC11784829 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature