单细胞测序数据分析

 

项目支持

Ø  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

Ø  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

 

成员

邹权 (教授)

张子龙 (博士后)

王紫薇(博士后)

齐忍(博士生)

王嘉程(博士生)

焦仕虎(科研助理)

 

发表论文

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. DOI: 10.1093/bib/bbab345