Domain adaptive and fine-grained anomaly detection for single-cell sequencing data and beyond K Xu, Y Ding, S Hou, W Zhan, N Chen, J Wang, X Sun arXiv preprint arXiv:2404.17454, 2024 | 2 | 2024 |
Detecting anomalous anatomic regions in spatial transcriptomics with STANDS K Xu, Y Lu, S Hou, K Liu, Y Du, M Huang, H Feng, H Wu, X Sun Nature Communications 15 (1), 8223, 2024 | 1 | 2024 |
MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics K Xu, Q Wu, Y Lu, Y Zheng, W Li, X Tang, J Wang, X Sun arXiv preprint arXiv:2412.10659, 2024 | | 2024 |
MIXER: Identifying Co-expressed Genes in Multimodal Transcriptomic Sequencing Data T Deng, M Huang, K Xu, Y Lu, S Chen, Y Xu, N Xie, H Wu, X Sun Proceedings of the 15th ACM International Conference on Bioinformatics …, 2024 | | 2024 |
Detecting and Subtyping Anomalous Single Cells with M2ASDA K Xu, K Liu, L Wang, Y Ding, Y Lu, H Wu, X Sun Proceedings of the 15th ACM International Conference on Bioinformatics …, 2024 | | 2024 |
LEGEND: Identifying Co-expressed Genes in Multimodal Transcriptomic Sequencing Data T Deng, M Huang, K Xu, Y Lu, Y Xu, S Chen, N Xie, H Wu, X Sun bioRxiv, 2024.10. 27.620451, 2024 | | 2024 |
Estimation and Application of the Convergence Bounds for Nonlinear Markov Chains K Xu arXiv preprint arXiv:2212.05304, 2022 | | 2022 |