2 papers
q-bio.GN2024
GATES: Graph Attention Network with Global Expression Fusion for Deciphering Spatial Transcriptome Architectures
Xiongtao Xiao, Xiaofeng Chen, Feiyan Jiang +5
Single-cell spatial transcriptomics (ST) offers a unique approach to measuring gene expression profiles and spatial cell locations simultaneously. However, most existing ST methods…
cs.LG2023
Mixture Data for Training Cannot Ensure Out-of-distribution Generalization
Songming Zhang, Yuxiao Luo, Qizhou Wang +4
Deep neural networks often face generalization problems to handle out-of-distribution (OOD) data, and there remains a notable theoretical gap between the contributing factors and t…