关锦婷助理教授 研究方向：生物信息、机器学习、数据挖掘
系别：自动化系
联系电话：
电子邮箱：jtguan@xmu.edu.cn



个人简介
研究成果
承担项目
学术奖励


研究方向：生物信息、机器学习、数据挖掘
2018.03至今，厦门大学，自动化系，助理教授
2016.07至2017.01, The University of Hong Kong, Centre for Genomic Sciences, Research Assistant
2014.10至2015.10, Texas A&M University, Veterinary Integrative Biosciences, Visiting Scholar
2011.09至2017.09，厦门大学，系统工程，工学博士
2007.09至2011.07，厦门大学，自动化，工学学士


代表性SCI期刊论文：
1. Guan J.#, Lin Y., Wang Y., Gao J., Ji G. (2021). An analytical method for the identification of cell type-specific disease gene modules. Journal of Translational medicine, 19: 20. (SCI二区)
2. Guan J.#, Wang Y., Lin Y., Yin Q., Zhuang Y., Ji G. (2021). Cell type-specific predictive models perform prioritization of genes and gene sets associated with autism. Frontiers in Genetics, 11: 1778. (SCI三区)
3. Guan J.#, Lin Y., Ji G. (2020). Cell Type-specific Gene Network-based Analysis Depicts the Heterogeneity of Autism Spectrum Disorder. Frontiers in Cellular Neuroscience, 14: 59. (SCI二区)
4. Huang G., Osorio D., Guan J., Ji G#, Cai J.J.# (2020). Overdispersed gene expression characterizes schizophrenic brains. npj Schizophrenia. (SCI二区)
5. Guan J., Cai J.J., Ji G.#, Sham P.# (2019). Commonality in dysregulated expression of gene sets in cortical brains of individuals with autism, schizophrenia, and bipolar disorder. Translational Psychiatry, 9 (1): 152. (SCI一区, top)
6. Guan J., Chen M., Ye C., Cai J.J., Ji G#. (2018). AEGS: identifying aberrantly expressed gene sets for differential variability analysis. Bioinformatics, 34(5): 881-883. (SCI二区, top)
7. Guan J., Yang E., Yang J., Zeng Y., Ji G.#, Cai J.J.# (2016). Exploiting aberrant mRNA expression in autism for gene discovery and diagnosis. Human Genetics, 135 (7), 797-811. (SCI二区)
8. Brinkmeyer-Langford C.L.*, Guan J.*, Ji G.#, Cai J.J.# (2016). Aging shapes the population-mean and -dispersion of gene expression in human brains. Frontiers in Aging Neuroscience, 8, 1-13. (*Co-first author) (SCI二区)
9. Ji G., Guan J., Zeng Y., Li Q.Q., Wu X#. (2015). Genome-wide identification and predictive modeling of polyadenylation sites in eukaryotes. Briefings in Bioinformatics, 16 (2): 304-313. (SCI一区, top)
10. Guan J., Fu J., Wu M., Chen L., Ji G., Li Q.Q., Wu X#. (2015). VAAPA: a web platform for visualization and analysis of alternative polyadenylation. Computers in Biology and Medicine, 57: 20-25. (SCI三区)
11. Wu X.#, Zeng Y., Guan J., Ji G., Huang R., Li Q.Q.# (2015). Genome-wide characterization of intergenic polyadenylation sites redefines gene spaces in Arabidopsis thaliana. BMC Genomics, 16 (1): 511. (SCI二区)
12. Ji G., Zeng Y., Guan J., Li Q.Q., Ye C., Liu Y#. (2013). Recent advances in mathematical modeling and simulation of DNA replication process. Current Bioinformatics, 8 (5): 591-602. (SCI四区)
代表性会议论文：
1. Wang Y., Lin Y., Ji G., Guan J.# (2020). Gene Screening for Autism Based on Cell-type-specific Predictive Models. 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Virtual Conference. (CCF B)
2. Lin Y., Ji G, Li S., Guan J.# (2019). Human brain cell type-specific gene co-expression associated with autism spectrum disorder. 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), San Diego, USA. (CCF B)
3. Guan J., Tang M., Huang G., Zhu W., Zhou S., Ji G#. (2016). A new small-world network model for instant messaging chat network. 2016 11th System of Systems Engineering Conference (SoSE), Kongsberg, Norway.

1. 国家自然科学基金青年科学基金项目(**)，2019-2021，25万，主持。
2. 中央高校基本科研业务费()，2019，10万，主持。
3. 国家自然科学基金面上项目(**)，2019-2022，63万，参与。
4. 国家自然科学基金面上项目(**)，2016-2019，66万，参与。
5. 国家自然科学基金面上项目(**)，2017，16万，参与。