2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2026
Adapting a Pre-trained Single-Cell Foundation Model to Spatial Gene Expression Generation from Histology Images
Donghai Fang, Yongheng Li, Zhen Wang +2
Spatial transcriptomics (ST) enables spot-level in situ expression profiling, but its high cost and limited throughput motivate predicting expression directly from HE-stained histo…
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…
cs.LG2024★ 1 cited
Graph Regularized NMF with L20-norm for Unsupervised Feature Learning
Zhen Wang, Wenwen Min
Nonnegative Matrix Factorization (NMF) is a widely applied technique in the fields of machine learning and data mining. Graph Regularized Non-negative Matrix Factorization (GNMF) i…