个人简介：
2022.08至今，厦门大学，自动化系，副教授
2018.03-2022.07，厦门大学，自动化系，助理教授
2016.07-2017.01，The University of Hong Kong, Centre for Genomic Sciences，Research Assistant
2014.10-2015.10，Texas A&M University, Veterinary Integrative Biosciences，Visiting Scholar
2011.09-2017.09，厦门大学，系统工程，工学博士
2007.09-2011.07，厦门大学，自动化，工学学士
主讲课程：
模式识别与机器学习 (本科生)
生物信息学 (研究生)
承担项目：
1. 国家自然科学基金青年科学基金项目，主持。
2. 福建省自然科学基金青年项目，主持。
3. 中央高校基本科研业务费，主持。
4. 重点实验室开放课题，主持。
5. 新一代人工智能国家科技重大专项，参与。
代表性SCI期刊论文：
1. Chenqi Wang#, Yifan Lin#, Shuchao Li, Jinting Guan* (2024). Deconvolution from Bulk Gene Expression by Leveraging Sample-wise and Gene-wise Similarities and Single-cell RNA-Seq Data. BMC Genomics, 25, 875.
2. Yongjie Wang, Fengfan Zhou, Jinting Guan* (2024). SFINN: inferring gene regulatory networks from single-cell and spatial transcriptomic data with shared factor neighborhood and integrated neural networks. Bioinformatics, 40(7): btae433.
3. Yue Kang#, Hongyu Zhang#, Jinting Guan* (2024). scINRB: single-cell gene expression imputation with network regularization and bulk RNA-seq data. Briefings in Bioinformatics, 25(3): bbae148.
4. Junjie Zhang, Guoli Ji, Xilin Gao*, Jinting Guan* (2023). Single nucleus gene and gene set expression-based similarity network fusion identifies autism molecular subtypes. BMC Bioinformatics, 24, 142.
5. Jinting Guan*, Yang Wang, Yongjie Wang, Yan Zhuang, Guoli Ji (2022). SRGS: sparse partial least squares-based recursive gene selection for gene regulatory network inference, BMC Genomics 23, 782.
6. Jinting Guan*, Yan Zhuang, Yue Kang, Guoli Ji (2022). Shared and cell type-specific gene expression patterns associated with autism revealed by integrative regularized non-negative matrix factorization. Frontiers in Genetics, 13: 865371.
7. Qingyang Yin, Yang Wang, Jinting Guan*, Guoli Ji (2022). scIAE: an integrative autoencoder-based ensemble classification framework for single-cell RNA-seq data. Briefings in Bioinformatics, 23(1): bbab508.
8. Guoli Ji, Shuchao Li, Lishan Ye*, Jinting Guan* (2021). Gene module analysis reveals cell-type specificity and potential target genes in autism's pathogenesis. Biomedicines, 9(4): 410.
9. Jinting Guan*, Yiping Lin, Yang Wang, Junchao Gao, Guoli Ji (2021). An analytical method for the identification of cell type-specific disease gene modules. Journal of Translational medicine, 19: 20.
10. Jinting Guan*, Yang Wang, Yiping Lin, Qingyang Yin, Yibo Zhuang, Guoli Ji (2021). Cell type-specific predictive models perform prioritization of genes and gene sets associated with autism. Frontiers in Genetics, 11: 1778.
11. Jinting Guan*, Yiping Lin, Guoli Ji (2020). Cell Type-specific Gene Network-based Analysis Depicts the Heterogeneity of Autism Spectrum Disorder. Frontiers in Cellular Neuroscience, 14: 59.
12. Guangzao Huang, Osorio, D., Jinting Guan, Guoli Ji*, James Cai* (2020). Overdispersed gene expression characterizes schizophrenic brains. npj Schizophrenia, 6:9.
13. Jinting Guan, James Cai., Guoli Ji*, Pak Sham* (2019). Commonality in dysregulated expression of gene sets in cortical brains of individuals with autism, schizophrenia, and bipolar disorder. Translational Psychiatry, 9 (1): 152.
14. Jinting Guan, Moliang Chen, Congting Ye, James Cai., Guoli Ji* (2018). AEGS: identifying aberrantly expressed gene sets for differential variability analysis. Bioinformatics, 34(5): 881-883.
15. Jinting Guan, Ence Yang, Jizhou Yang, Yong Zeng, Guoli Ji*, James Cai* (2016). Exploiting aberrant mRNA expression in autism for gene discovery and diagnosis. Human Genetics, 135 (7), 797-811.
16. Brinkmeyer-Langford, C.L.#, Jinting Guan#, Guoli Ji*, James Cai* (2016). Aging shapes the population-mean and -dispersion of gene expression in human brains. Frontiers in Aging Neuroscience, 8, 1-13. (#Co-first author).
17. Guoli Ji, Jinting Guan, Yong Zeng, Qingshun Li, Xiaohui Wu* (2015). Genome-wide identification and predictive modeling of polyadenylation sites in eukaryotes. Briefings in Bioinformatics, 16 (2): 304-313.
18. Jinting Guan, Jingyi Fu, Mingcheng Wu, Liangliang Chen, Guoli Ji, Qingshun Li, Xiaohui Wu* (2015). VAAPA: a web platform for visualization and analysis of alternative polyadenylation. Computers in Biology and Medicine, 57: 20-25.
19. Xiaohui Wu*, Yong Zeng, Jinting Guan, Guoli Ji, Rongting Huang, Qingshun Li* (2015). Genome-wide characterization of intergenic polyadenylation sites redefines gene spaces in Arabidopsis thaliana. BMC Genomics, 16 (1): 511.
代表性会议论文：
1. Yusheng Jiang, Hongyu Zhang, Jinting Guan*. UFGOT: unbalanced filter graph alignment with optimal transport for cancer subtyping based on multi-omics data. The 20th International Symposium on Bioinformatics Research and Applications (ISBRA 2024).
2. Xuesheng Lin, Yusheng Jiang, Jinting Guan*. iEMNN: an iterative integration method for single-cell transcriptomic data based on network similarity enhancement and mutual nearest neighbors. 2024 International Conference on Intelligent Computing (ICIC 2024).
3. Zengzhi Yang, Yubin Wei, Xiao Yu, Jinting Guan* (2024). Dfp-Unet: A Biomedical Image Segmentation Method Based on Deformable Convolution and Feature Pyramid. The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024).
4. Yuanling Ma, Jinting Guan* (2022), MOCSC: a multi-omics data-based framework for cancer subtype classification. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, NV, USA.
