Yuanyuan Chen

scRGP: Prediction of Single-cell Genetic Perturbation Transcriptional Responses based on Rank in Multiple Scenarios

scRGP predicts single-cell genetic perturbation transcriptional responses using rank-based deep learning, improving performance over existing methods for single, double, and cross-cell-line perturbations.

Action mechanism of a novel agrichemical quinofumelin against Fusarium graminearum

This study identifies the antifungal mechanism of quinofumelin by showing it targets FgDHODHII in the pyrimidine biosynthesis pathway, inhibiting mycelial growth in Fusarium species.

Three-dimension transcriptomics maps of whole mouse embryo during organogenesis

The paper fills a gap in 3D spatial transcriptomics by providing data from E9.5 and E11.5 mouse embryos, enabling detailed analysis of organogenesis with a new open-access database.

NcPath: A novel tool for visualization and enrichment analysis of human non-coding RNA and KEGG signaling pathways

NcPath integrates and visualizes miRNA and lncRNA interactions with KEGG pathways, enabling enrichment analysis of non-coding RNA involvement in biological processes.

Deep6mA: a deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species

Deep6mA is a deep learning framework for identifying DNA 6mA sites, achieving high accuracy across species and revealing conserved sequence patterns and regulatory roles of 6mA.