Published

1. Y. Huang, Y. Liu, W. Ouyang, Z. Wang, H. Huang, Q. Ou, R. Lin, L. Lin, L. Mao, Y. Yu, W. Su, Q. Luo, H. Yao, ”A comprehensive analysis of programmed cell death-associated genes for tumor microenvironment evaluation promotes precise immunotherapy in patients with lung adenocarcinoma“, *Journal of Personalized Medicine, 2023. paper

2. Y. Yu, Wei Ren, Z. He, Y. Chen, Y. Tan, L.Mao, W. Ouyang, N. Lu, J. Ouyang, K. Chen, C. Li, R. Zhang, Z. Wu, F. Su, Z. Wang, W. Su, Q. Hu, C. Xie, and H. Yao, ”Deep Learning Radiomics Supports Perioperative Treatment Decisions and is Associated With LncRNAs in Breast Cancer: A Multicenter Study“, in Nature Cancer(Under review), 2022.

3. B. Song, B he, Z. Wang, R. Lin, J. Yang, R. Zhou, Y. Cai, ”Research on Open Practice Teaching of Off-Campus Art Appreciation Based on ICT“, in Sustainability, 2022. paper

4. Y. Yu, Q. Ou, C. Yu, L. Wang, R. Zhang, R. Zhao, B. Qu, Z. Wang, R. Lin, H. Yao, ”Development and Validation of a Deep Learning RNA Modification Model Predict Disease-free Survival in Patients with Breast Cancer“, in Annlas of oncology, 2022. paper

5. B. song, C. Gong, Y. Gao, Y. Ke, Z. Wang, R. Lin, Y. Cai, ”Music Literacy and Soundscape Perception: A Study Based on the Soundwalk Method of Soundscapes“, in International Journal of Environmental Research and Public Health (IJERPH), 2022. paper

6. B. Song, R. Lin, Z. Wang, Y. Cai, F. Wang, “Curriculum Design of Art Appreciation in Colleges Based on Kano Model Demand Analysis“, in 2021 International Conference on Digital Society and Intelligent Systems (DSInS), 2021. paper