Kai Shi

发表

Detection of Deregulated Modules Using Deregulatory Linked Path

D. Chiu, Lin Gao, Yuxuan Hu, 2013, PloS one.

Identifying Molecular Biomarkers for Diseases With Machine Learning Based on Integrative Omics

Wei Lin, Kai Shi, Xingming Zhao, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Systematic tracking of coordinated differential network motifs identifies novel disease-related genes by integrating multiple data

Lin Gao, Bingbo Wang, Kai Shi, 2016, Neurocomputing.

Inferring Dysregulated Pathways of Driving Cancer Subtypes Through Multi-omics Integration

Lin Gao, Bingbo Wang, Kai Shi, 2018, ISBRA.

Proteomic analysis of energy metabolism and signal transduction in irradiated melanoma cells.

Z. Bing, Lu Yan, Kai Shi, 2013, International journal of ophthalmology.

Identify the signature genes for diagnose of uveal melanoma by weight gene co-expression network analysis.

Z. Bing, Ling Guo, Hai Jiang, 2015, International journal of ophthalmology.

Role of gene signature regulation in tumor immune microenvironment on the mechanism of uveal melanoma metastasis.

Lingyan Yuan, W. Ran, Kai Shi, 2023, Cancer biomarkers : section A of Disease markers.

Identifying microbe-disease association based on graph convolutional attention network: Case study of liver cirrhosis and epilepsy

Lin Li, Zhengfeng Wang, S. Fang, 2023, Frontiers in Neuroscience.

Discovering potential cancer driver genes by an integrated network-based approach.

Lin Gao, Bingbo Wang, Lin Gao, 2016, Molecular bioSystems.

Multi-Similarities Integration and Network Projection to Identify Human Microbe-Disease Association

Lin Li, Kai Shi, Bin Wang, 2020, EBIMCS.

Identification of hub genes correlated with sleep deprivation using co-expression analysis

N. Zhang, K. Zeng, Xiao-dan Wu, 2021, Sleep and Breathing.