Publications by authors named "Shouzhe Wang"
Background: Identifying transcriptional cis-regulatory elements (CREs) and understanding their role in gene expression are essential for the precise manipulation of gene expression and associated phenotypes. This knowledge is fundamental for advancing genetic engineering and improving crop traits.
Results: We here demonstrate that CREs can be accurately predicted and utilized to precisely regulate gene expression beyond the range of natural variation.
Article Synopsis
- Chromatin interactions link distant regulatory elements to target genes in the genome, influencing gene expression and phenotypic traits.
- This study presents DeepCBA, a deep learning model that predicts gene expression more accurately by incorporating chromatin interaction data from maize, outperforming traditional models.
- DeepCBA successfully identifies important regulatory motifs and has practical applications in understanding gene regulation and enabling precise gene editing for future breeding efforts.