Qinke Peng

Latest

• User Linguistic Style Awareness and Interest-Driven Conversational Recommender Systems.
• findGSEP: estimating genome size of polyploid species using k-mer frequencies
• ACLNDA: an asymmetric graph contrastive learning framework for predicting noncoding RNA–disease associations in heterogeneous graphs.
• KGETCDA: an efficient representation learning framework based on knowledge graph encoder from transformer for predicting circRNA-disease associations
• Integrated analysis of multimodal single-cell data with structural similarity
• UFold: fast and accurate RNA secondary structure prediction with deep learning
• Predicting transcription factor binding in single cells through deep learning