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Xueying Fan on Muck Rack

Xueying Fan

As seen in: Nature, Wiley Online Library, MDPI, PNAS, Genome Biology, Science Magazine, BioRxiv, Cell Press
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Articles

DS-UNet: enhancing liver tumor segmentation in CT images via dense state space selection and gating mechanism

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By Xueying Fan, Wanbin Lin, Liming Xu, Shijie Xu
| Nature Verified
Abstract Early diagnosis and precise localization of malignant liver tumors are crucial for effective clinical decision-making.
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A systematic comparison of single-cell perturbation response prediction models

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By DeNard V Simmons, Dongjun Li, Theo Bourdais, Lanxiang Li, Yue You, Yunlin Fu, Wenyu Liao, Xueying Fan, Shihong Lu, Ye Cao, Shuangjia Zheng, Jizheng Chen, Xiaodong Liu, Luyi Tian, Wenle Ren, Jiaming Kong
| Science Magazine Verified
Abstract INTRODUCTION RESULTS DISCUSSION MATERIALS AND METHODS Acknowledgments Supplementary Materials REFERENCES Information & Authors Metrics & Citations View Options References Figures Tables Media Share This article has 0 eLetter . Abstract Predicting single-cell transcriptional responses to perturbations is central to dissecting gene regulation and accelerating therapeutic design, yet the field lacks a rigorous, task-spanning assessment of model behavior.
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Graph-based Contrastive Learning Enables Unified Integration and Niche Transfer Across Single-Cell and Spatial Multi-Omics

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By Weige Zhou, Xueying Fan, Lanxiang Li, Jianrong Zheng
| BioRxiv
Abstract The rapid growth of single-cell and spatial omics has outpaced computational methods capable of unifying these data into a cohesive framework for tissue atlas construction and cross-sample analysis. A critical bottleneck lies in the inability of existing tools to co-embed cells from diverse technologies-spanning transcriptomics, epigenomics, and proteomics-into a shared reference space while preserving spatial architecture and molecular specificity.
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