Liangyun Zhang

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.

AIPAMPDS: an AI platform for antimicrobial peptide design and screening

AIPAMPDS designs and screens antimicrobial peptides using AI, identifying 10 lead peptides with high antimicrobial activity and low hemolysis.

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.