Publications by authors named "Jacob Hepkema"
Article Synopsis
- The binding of transcription factors to gene regions like promoters and enhancers is key for regulating genes, but figuring out how these elements work is tough.
- A new tool called scover uses convolutional neural networks trained on single-cell data to identify regulatory motifs and assess their importance for gene expression.
- Scover reveals that it accounts for 29% of gene expression variation in mouse tissues and can identify specific regulatory activities in distal enhancers of the developing human brain, making the results more understandable.
