个人简介
李静，1995年生， 研究方向包括药物发现、阿尔兹海默症的研究、机器学习、数据挖掘、生物信息学、生物计算。 谷歌学术
主要经历
- 2025.11～至今: 于香港大学微生物系担任博士后
- 2025.09～2025.10: 于香港大学微生物系担任科研助理
- 2021.09～2025.08: 毕业于香港大学微生物系，生物医学科学系，获博士学位
- 2021.01~2021.08: 于中国电子科技大学长三角洲研究院任科研助理
- 2021.01: 毕业于天津大学智能与计算学部，获硕士学位
- 2018.07：毕业于沈阳工业大学机械学院，获工学学士学位
论文成果
- UniSCL: Unified subcellular localization and feature interpretability analysis for mRNA and lncRNA. 2025 (Manuscript completed, in preparation).
- Li J, Su X, Liu Q, Wang Y. Multi-class pattern discovery for bacterial secretory effectors[J]. Submitted to journal of Computational Biomedicine, 2025.
- Li J, Liu Q, Zou Q, Zhan C. TXSelect: A multi-task learning model to identify secretory effectors[J]. PLOS Computational Biology, 2025. JCR Q1.
- Li J, Sun H, Shu X, Yuan S. SMCseeker: an attentive virtual screening model for antiviral discovery[J]. iScience, 2025. JCR Q1.
- Li J, Zou Q, Zhan C. AttenRNA: multi-scale deep attentive model with RNA feature variability analysis. Briefings in Bioinformatics, 2025. JCR Q1.
- Li J, Siwen L, Yat-fung S, et al. An aid diagnostic platform to detect the transition of mild cognitive impairment (MCI) to Alzheimer's disease (AD). Current Bioinformatics, 2025. JCR Q2.
- Li J, Ju Y, Zou Q, et al. LncRNA localization and feature interpretability analysis[J]. Molecular Therapy Nucleic Acids, 2024. JCR Q1.
- Li J, He S, Zhang J, et al. T4Seeker: a hybrid model for type IV secretion effectors identification[J]. BMC biology, 2024, 22(1): 259. JCR Q1, 中科院 Q1
- Li J, Zou Q, Yuan L. A review from biological mapping to computation-based subcellular localization[J]. Molecular Therapy-Nucleic Acids, 2023, 32: 507-521. JCR Q1.
- Chen J, Zou Q, Li J. DeepM6ASeq-EL: prediction of human N6-methyladenosine (m 6 a) sites with LSTM and ensemble learning[J]. Frontiers of Computer Science, 2022, 16: 1-7. JCR Q1.
- Li J , He S, Guo F, et al. HSM6AP: a high-precision predictor for the Homo sapiens N6-methyladenosine (m^ 6 A) based on multiple weights and feature stitching[J]. RNA biology, 2021, 18(11): 1882-1892. JCR Q2.
- Li J , Zhang L, He S, et al. SubLocEP: a novel ensemble predictor of subcellular localization of eukaryotic mRNA based on machine learning[J]. Briefings in Bioinformatics, 2021, 22(5): bbaa401. JCR Q1.
- Li J , Wei L, Guo F, et al. EP3: an ensemble predictor that accurately identifies type III secreted effectors[J]. Briefings in Bioinformatics, 2021, 22(2): 1918-1928. JCR Q1.
- Li J , Zhu P, Zou Q. Prediction of thermophilic proteins using voting algorithm. 7th International Work-Conference, IWBBIO 2019, Granada, Spain.
专利成果
- 宋又强；李静。轻度认知障碍到阿尔茨海默病辅助诊断平台。2025.中国专利申请中（已公布）。
- 邹权；李静；杜军平。mRNA亚细胞定位模型训练方法、定位方法及可读存储介质。2021。中国发明专利，已授权。
- 邹权；李静；杜军平。一种甲基化位点识别方法及装置。2021。中国发明专利，已授权。
- 邹权；李静；丁漪杰；杜军平。一种III型分泌系统效应蛋白识别方法及装置。2021。中国发明专利，已授权。
联系方式
- Email: lijingtju@foxmail.com