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国家自然科学基金重点项目：面向单细胞RNA测序数据的深度迁移模型与细胞通信网络研究（62131004）
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国家自然科学基金青年基金项目：大型单细胞转录组数据降维与可视化
邹权 （教授，电子科大）
魏乐义（教授，山东大学）
张子龙 （副教授，海南大学）
王紫薇（讲师，山东第一医科大学）
齐忍（博士后，电子科大）
王嘉程（博士生，电子科大）
焦仕虎（科研助理，电子科大）
webSCST: an interactive web application for
single-cell RNA-seq data and spatial transcriptome data integration
scIMC:
a platform for benchmarking comparison and visualization analysis of scRNA-seq
data imputation methods
1.
Ziwei
Wang, Hui Ding, Quan Zou*.
Identifying Cell Types to Interpret scRNA-seq Data: How, Why, and More
Possibilities. Briefings in Functional
Genomics. 2020, 19(4):286-291
2.
Ziwei
Wang, Chi-chang Chang*, Quan Zou*.
COVID-19 Related Research by Data Mining in Single Cell Transcriptome Profiles.
Journal of Electronic Science and
Technology. 2021, 19(1):1-5
3.
Ren Qi, Anjun Ma, Qin Ma*, Quan Zou*. Clustering and Classification Methods for Single-cell
RNA-sequencing Data. Briefings in
Bioinformatics. 2020, 21(4): 1196-1208.
4.
Ren
Qi, Jin Wu, Fei Guo, Lei Xu*, Quan Zou*.
A Spectral Clustering with Self-weighted Multiple Kernel Learning Method for
single-cell RNA-seq Data. Briefings in
Bioinformatics. 2021, 22(4): bbaa216. (Codes)
5.
Zilong
Zhang, Feifei Cui, Chunyu Wang, Lingling Zhao*, Quan Zou*. Goals and Approaches for Each Processing Step for
Single-Cell RNA Sequencing Data. Briefings
in Bioinformatics. 2021, 22(4): bbaa314. (codes)
6.
Zilong
Zhang, Feifei Cui, Chen Lin, Lingling Zhao, Chunyu Wang*, Quan Zou*. Critical
downstream analysis steps for single-cell RNA sequencing data. Briefings in Bioinformatics.
2021,22(5):bbab105. (codes)
7.
Zilong
Zhang, Feifei Cui, Murong Zhou, Song Wu*, Quan Zou*, Bo Gao*.
Single-cell RNA sequencing analysis identifies key genes in brain metastasis
from lung adenocarcinoma.
Current gene therapy. 2021, 21(4): 338-348
8.
Zilong Zhang, Feifei Cui, Chen Cao, Qingsuo Wang*,
Quan Zou*. Single-cell RNA analysis reveals the potential risk of
organ-specific cell types vulnerable to SARS-CoV-2 infections. Computers in
Biology and Medicine. 2022, 140: 105092
9.
Jiacheng
Wang, Quan Zou*, Chen Lin*. A comparison
of deep learning-based pre-processing and clustering approaches for single-cell
RNA sequencing data. Briefings in
Bioinformatics. 2022,
23(1): bbab345
10. Ziwei Wang, Ying Zhang, Qun Li, Quan Zou*, Qing
Liu*. A road map for happiness: The psychological factors related cell types in
various parts of human body from single cell RNA-seq data analysis. Computers
in Biology and Medicine. 2022, 143:105286
11. Mengyuan Zhao, Wenying He, Jijun Tang*, Quan Zou*,
Fei Guo*. A hybrid deep learning framework for gene regulatory network
inference from single-cell transcriptomic data. Briefings in Bioinformatics.
2022, 23(2): bbab568
12. Zilong Zhang, Feifei Cui, Wei Su, Lijun Dou, Anqi Xu,
Chen Cao, Quan Zou*. webSCST: an interactive web application for
single-cell RNA-sequencing data and spatial transcriptomic data integration. Bioinformatics.
2022, 38(13):3488-3489. (web server)
13. Chichi Dai, Yi Jiang, Chenglin Yin, Ran Su, Xiangxiang
Zeng, Quan Zou, Kenta Nakai*, Leyi Wei*. scIMC: a platform for benchmarking
comparison and visualization analysis of scRNA-seq data imputation methods. Nucleic
Acids Research. 2022, 50(9):4877-4899. (web server)