Shenghua Qin

机构：Agricultural Genomics Institute at Shenzhen

发表论文 6 篇 · 总被引 46 次 · h-index 4

代表论文

• A novel interpretable deep learning-based computational framework designed synthetic enhancers with broad cross-species activity (2024 · Nucleic Acids Research · 被引 16)
• Analyzing super-enhancer temporal dynamics reveals potential critical enhancers and their gene regulatory networks underlying skeletal muscle development (2024 · Genome Research · 被引 11)
• Constructing eRNA-mediated gene regulatory networks to explore the genetic basis of muscle and fat-relevant traits in pigs (2024 · Genetics Selection Evolution · 被引 8)
• DeepAnnotation: A novel interpretable deep learning–based genomic selection model that integrates comprehensive functional annotations (2025 · GigaScience · 被引 5)
• Multi-omics analysis reveals critical cis-regulatory roles of transposable elements in livestock genomes (2025 · iScience · 被引 4)
• Multi-omics analysis reveals critical cis-regulatory roles of transposable elements in livestock genomes (2023 · bioRxiv (Cold Spring Harbor Laboratory))