主持参与完成的项目：

参与完成国家自然科学基金重点项目1项，国家自然科学基金面上项目2项。

发表SCI/EI论文十余篇，近五年部分论文成果：

[1] Meihong Gao, Yang Guo, Yifu Xiao and Xuequn Shang. Comprehensive analyses of correlation and survival reveal informative lncRNA prognostic signatures in colon cancer[J]. World Journal of Surgical Oncology, 2021, 19(1),104.

[2] Yang Qi#, Yang Guo#*, Huixin Jiao, Xuequn Shang*. A flexible network-based imputing-and-fusing approach towards the identification of cell types from single-cell RNA-seq data[J]. BMC Bioinformatics, 2020, 21: 240.

[3] Yang Guo, Xuequn Shang, Zhanhuai Li. Identification of cancer subtypes by integrating multiple types of transcriptomics data with deep learning in breast cancer[J]. Neurocomputing, 2019, 324: 20-30.

[4] Yang Guo, Yang Qi, Zhanhuai Li, Xuequn Shang. Improvement of cancer subtype prediction by incorporating transcriptome expression data and heterogeneous biological networks[J]. BMC Medical Genomics, 2018, 11(S6): 119.

[5] Yang Guo, Jianning Zheng, Xuequn Shang, Zhanhuai Li. A similarity regression fusion model for integrating multi-omics data to identify cancer subtypes[J]. Genes, 2018, 9(7): 314.

[6] Yang Guo, Shuhui Liu, Zhanhuai Li, Xuequn Shang. A boosting cascade deep forest model towards the classification of cancer subtypes based on gene expression data[J]. BMC Bioinformatics, 2018, 19(S5): 118.

[7] Benjamin Cieply, Juw Won Park, Angela Nakauka-Ddamba, Thomas W Bebee, Yang Guo, Xuequn Shang, Christopher J. Lengner, Yi Xing, Russ P. Carstens. Multiphasic and dynamic changes in alternative splicing during induction of pluripotency are coordinated by numerous RNA-binding proteins[J]. Cell Reports, 2016, 15(2): 247-255.

[8] Yueqin Yang, Juw Won Park, Thomas W. Bebee, Claude C. Warzecha, Yang Guo, Xuequn Shang, Yi Xing, Russ P. Carstens. Determination of a comprehensive alternative splicing regulatory network and combinatorial regulation by key factors during the epithelial-to-mesenchymal transition[J]. Molecular & Cellular Biology, 2016, 36(11):1704.

担任IEEE Transactions on Cybernetics，Genes，IEEE Access，ICIC等多个国际期刊及会议审稿人。

欢迎对生物大数据挖掘与分析以及机器学习、人工智能等计算技术在个性化医疗、精准医学领域的应用和前沿交叉研究有浓厚兴趣的研究生和本科生联系加入。