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）

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, 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)

4. 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)

5. 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)

6. 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. DOI: 10.2174/1566523221666210319104752

7. 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