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Yan CUI
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Benchmarking spatial clustering methods with spatially resolved transcriptomics data
Z Yuan, F Zhao, S Lin, Y Zhao, J Yao, Y Cui, XY Zhang, Y Zhao
Nature Methods 21 (4), 712-722, 2024
482024
SMG: self-supervised masked graph learning for cancer gene identification
Y Cui, Z Wang, X Wang, Y Zhang, Y Zhang, T Pan, Z Zhang, S Li, Y Guo, ...
Briefings in Bioinformatics 24 (6), bbad406, 2023
82023
Ceir: Concept-based explainable image representation learning
Y Cui, S Liu, L Li, Z Yuan
arXiv preprint arXiv:2312.10747, 2023
52023
Complete spatially resolved gene expression is not necessary for identifying spatial domains
S Lin, Y Cui, F Zhao, Z Yang, J Song, J Yao, Y Zhao, BZ Qian, Y Zhao, ...
Cell Genomics 4 (6), 2024
32024
Better Explain Transformers by Illuminating Important Information
L Song, Y Cui, A Luo, F Lecue, I Li
arXiv preprint arXiv:2401.09972, 2024
12024
Scalable individual treatment effect estimator for large graphs
X Lin, H Bao, Y Cui, K Takeuchi, H Kashima
Machine Learning 114 (1), 1-19, 2025
2025
Bridging the Dimensional Gap from Planar Spatial Transcriptomics to 3D Cell Atlases
S Lin, Z Wang, Y CUI, Q Zou, C Han, R Yan, Z Yang, W Zhang, R Gao, ...
bioRxiv, 2024.12. 06.627127, 2024
2024
NicheTrans: Spatial-aware Cross-omics Translation
Z Wang, S Lin, Q Zou, Y Cui, C Han, Y Li, J Li, Y Zhao, R Gao, J Song, ...
bioRxiv, 2024
2024
MARVEL: Microenvironment Annotation by Supervised Graph Contrastive Learning
Y Cui, H Wen, R Yang, X Luo, H Liu, Y Xie
bioRxiv, 2024.10. 29.620828, 2024
2024
Identifying Differential Spatial Expression Patterns across Different Slices, Conditions and Developmental Stages with Interpretable Deep Learning
Y Cui, Z Yuan
bioRxiv, 2024.08. 04.606512, 2024
2024
SOFisher: Reinforcement Learning-Guided Experiment Designs for Spatial Omics
Z Li, W Wu, Y Cui, S Jian, Z Yuan
bioRxiv, 2024.07. 05.602236, 2024
2024
Scalable Condition-relevant Cell Niche Analysis of Spatial Omics Data with Taichi
Y Cui, Z Yuan
bioRxiv, 2024.05. 30.596656, 2024
2024
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Articles 1–12