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Xueying Fan

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

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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Classification of Atretic Small Antral Follicles in the Human Ovary

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By Fu Wei, Xueying Fan, Hui Cheng, Joyce D. Asseler
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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