鄞启进 - 北京中关村学院

鄞启进

北京中关村学院导师

清华自动化系控制科学与工程博士。研究方向涵盖计算生物学与AI for Science，具体包括基因组学、表观组学、单细胞多组学，蛋白设计和药物辅助发现。已在SCI期刊发表论文十余篇，拥有国家发明专利授权1项。
个人主页链接： https://qijinyin.github.io
Google scholar链接： https://scholar.google.ae/citations?user=zXi6HYgAAAAJ

I. 研究方向

1．计算生物学

2. 组学基座模型

3. 人工智能药物辅助发现

II. 教育经历

2017-2023 清华大学自动化系博士

2013-2017 北京航空航天大学自动化科学与电气工程学院本科

III. 工作经历

2025.03 – 2025.07 微软研究院科学智能研究中心高级研究员

2023.01 – 2025.03 百图生科(北京)智能技术有限公司算法工程师

IV. 代表性学术论文

• Zeng, W.^*, Liu, Q.^*, Yin, Q.^*, Jiang, R., & Wong, W. H. (2023). HiChIPdb: a comprehensive database of HiChIP regulatory interactions. Nucleic acids research, 51(D1), D159-D166.

• Yin, Q., Liu, Q., Fu, Z., Zeng, W., Zhang, B., Zhang, X., ... & Lv, H. (2022). scGraph: a graph neural network-based approach to automatically identify cell types. Bioinformatics, 38(11), 2996-3003.

• Chen, Q., Su, L., Liu, C., Gao, F., Chen, H.^†, Yin, Q.^†, & Li, S^†. (2022). PRKAR1A and SDCBP serve as potential predictors of heart failure following acute myocardial infarction. Frontiers in Immunology, 13, 878876.

• Chen, Q.^*, Yin, Q.^*, Song, J.^*, Liu, C., Chen, H., & Li, S. (2021). Identification of monocyte-associated genes as predictive biomarkers of heart failure after acute myocardial infarction. BMC Medical Genomics, 14(1), 44.

• Yin, Q., Wu, M., Liu, Q., Lv, H., & Jiang, R. (2019). DeepHistone: a deep learning approach to predicting histone modifications. BMC genomics, 20(Suppl 2), 193.

• Yin, Q., Fan, R., Cao, X., Liu, Q., Jiang, R., & Zeng, W. (2023). DeepDrug: a general graph‐based deep learning framework for drug‐drug interactions and drug‐target interactions prediction. Quantitative Biology, 11(3), 260-274.

• Cui, X., Yin, Q., Gao, Z., Li, Z., Chen, X., Lv, H., ... & Jiang, R. (2025). CREATE: cell-type-specific cis-regulatory element identification via discrete embedding. Nature Communications, 16(1), 4607.

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