2 citations · 2 across the 2 of their papers we have counts for
2 papers
q-bio.BM2024
A Heterogeneous Network-based Contrastive Learning Approach for Predicting Drug-Target Interaction
Junwei Hu, Michael Bewong, Selasi Kwashie +4
Drug-target interaction (DTI) prediction is crucial for drug development and repositioning. Methods using heterogeneous graph neural networks (HGNNs) for DTI prediction have become…
q-bio.GN2024★ 2 cited
scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data
Wenwen Min, Zhen Wang, Fangfang Zhu +2
Single-cell RNA sequencing (scRNA-seq) data analysis is pivotal for understanding cellular heterogeneity. However, the high sparsity and complex noise patterns inherent in scRNA-se…