Xueqin Xie Ph.D. candidate

Xueqin Xie is a Ph.D. candidate of Center for Informational Biology and the Key Laboratory for NeuroInformation of Ministry of Education in UESTC (Superviser: Hao Lin). Her research focus is: Computational multi-omics of chronic diseases.

E-mail: Xueqin_xie@163.com, xqxie@std.uestc.edu.cn

Education and Training

2023-now Ph.D. candidate in Bioinformatics, University of Electronic Science and Technology, Sichuan, China

2021-2023 M.S in Bioinformatics, University of Electronic Science and Technology, Sichuan, China

2017-2021 B.S in Bioinformatics, Fujian Medical University, Fujian, China

Published Papers

1. Xueqin Xie, Changchun Wu, Yuhe Yang, Wei Su, Fuying Dao, Jian Huang, Zheng Shi, Hao Lyu*, Hao Lin*. (2025) Interpretable machine learning-guided single-cell mapping deciphers multi-lineage pancreatic dysregulation in type 2 diabetes. Cardiovascular Diabetology, 24:300. (2024 IF: 10.6)

2. Xueqin Xie, Changchun Wu, Yixuan Qi, Shang-Hua Liu, Jian Huang, Hao Lyu*, Fuying Dao*, Hao Lin*. (2025) BertADP: A fine-tuned protein language model for anti-diabetic peptide prediction. BMC Biology, 23: 210. (2024 IF: 4.5)

3. Xueqin Xiee, Changchun Wu, Fuying Dao, Kejun Deng, Dan Yan, Jian Huang*, Hao Lyu*, Hao Lin*. (2025) scRiskCell: A single-cell framework for quantifying islet risk cells and their adaptive dynamics in type 2 diabetes. iMeta, 2025: e70060. (2024 IF: 33.2)

4. Xueqin Xie &, Changchun Wu &, Caiyi Ma, Dong Gao, Wei Su, Jian Huang, Kejun Deng*, Dan Yan*, Hao Lin*. (2024) Detecting key genes relative expression orderings as biomarkers for machine learning-based intelligent screening and analysis of Type 2 Diabetes Mellitus. Expert Systems With Applications, 255: 124702. (2023 IF: 7.5)

5. Xueqin Xie, Changchun Wu, Yuduo Hao, Tianyu Wang, Yuhe Yang, Peiling Cai, Yang Zhang, Jian Huang, Kejun Deng*, Dan Yan*, Hao Lin*. (2023) Benefits and risks of drug combination therapy for diabetes mellitus and its complications: A comprehensive review. Frontiers in Endocrinology, 14:1301093. (2022 IF: 5.2)

6. Fuying Dao &, Xueqin Xie &, Hongqi Zhang &, Zhengxing Guan, Changchun Wu, Wei Su, Hongyan Lai, Dong Gao, Yuhe Yang, Yang Zhang, Lin Ning, Shi-Hao Li, Yuduo Hao, Benjamin Lebeau, Crystal Ling Chia Yin, Jian Huang, Melissa Jane Fullwood*, Hao Lin*, Hao Lv*. (2025) PlantEMS: A Multi-Omics Database for Plant Epigenetic Modification Sites. Plant Communications, 6(4):101228. (2024 IF: 11.6)

7. Changchun Wu, Xueqin Xie, Xin Yang, Mengze Du, Hao Lin*, Jian Huang*. (2025) Applications of gene pair methods in clinical research: advancing precision medicine. Molecular Biomedicine, 6(1):22. (2024 IF: 10.1)

8. Wei Su, Xueqin Xie, Xiao-Wei Liu, Dong Gao, Cai-Yi Ma, Hasan Zulfiqar, Hui Yang, Hao Lin*, Xiao-Long Yu*, Yan-Wen Li*. (2023) iRNA-ac4C: a novel computational method for effectively detecting N4-acetylcytidine sites in human mRNA. International Journal of Biological Macromolecules, 277: 1174-1181. (2021 IF: 8.025)

9. Yuhe Yang, Dong Gao, Xueqin Xie, Jiaan Qin, Jian Li, Hao Lin*, Dan Yan*, Kejun Deng*. (2022) DeepIDC: A prediction framework of injectable drug combination based on heterogeneous information and deep learning. Clinical Pharmacokinetics, 61: 1749–1759. (2021 IF: 5.577)

10. Shishi Yuan, Dong Gao, Xueqin Xie, Cai-Yi Ma, Wei Su, Zhaoyue Zhang*, Yan Zheng*, Hui Ding*. (2022) IBPred: a sequence-based predictor for identifying ion binding protein in phage. Computational and Structural Biotechnology Journal, 20: 4942–4951. (2021 IF: 6.155)

11. Hongqi Zhang, Shanghua Liu, Wei Su, Xueqin Xie, Junwen Yu, Fuying Dao, Mi Yang*, Hao Lyu*, Hao Lin*. (2025) NeuroScale: Evolutional Scale-Based Protein Language Models Enable Prediction of Neuropeptides. BMC Biology, 23(1): 142. (2024 IF: 4.5)

12. Fuying Dao, Benjamin Lebeau, Crystal Chia Yin Ling, Mi Yang, Xueqin Xie, Melissa Jane Fullwood*, Hao Lin*, Hao Lyu*. (2025) RepliChrom: Interpretable machine learning predicts cancer-associated enhancer-promoter interactions using DNA replication timing. iMeta, 2025: e70052. (2024 IF: 33.2)

13. Sijia Xie, Xinwei Luo, Feitong Hong, Yijie Wei, Yuduo Hao,Xueqin Xie, Xiaolong Li, Guangbo Xie*, Fuying Dao*, Hao Lyu*. (2025) Towards Precision Aging Biology: Single-Cell Multi-Omics and Advanced AI-Driven Strategies. Aging and Disease. (2024 IF: 6.9)

14. Caiyi Ma, Yamei Luo, Tianyu Zhang, Yuduo Hao, Xueqin Xie, Xiaowei Liu, Xiaolei Ren, Xiaolin He, Yumei Han, Kejun Deng, Dan Yan, Hui Yang*, Hua Tang*, Hao Lin*. (2024) Predicting coronary heart disease in Chinese diabetics using machine learning. Computers in Biology and Medicine, 169: 107952. (2022 IF: 7.7)

15.  Yan Lin*, Jiashu Wang, Xiaowei Liu, Xueqin Xie, De Wu, Junjie Zhang, Hui Ding*. (2024) A computational model to identify fertility-related proteins using sequence information. Frontiers of Computer Science, 18(1): 181902. (2022 IF: 4.2)