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Future Oncology (London, England)|July 25, 2023
Deep learning-based multiomics integration model for predicting axillary lymph node metastasis in breast cancerXue Li, Lifeng Yang, Xiong JiaoAcademic Radiology|November 14, 2022
Comparison of Traditional Radiomics, Deep Learning Radiomics and Fusion Methods for Axillary Lymph Node Metastasis Prediction in Breast CancerXue Li, Lifeng Yang, Xiong JiaoClinical Breast Cancer|May 3, 2023
Development and Validation of a Nomogram for Predicting Axillary Lymph Node Metastasis in Breast CancerXue Li, Lifeng Yang, Xiong JiaoComputational and Mathematical Methods in Medicine|September 19, 2019
Prediction of Protein-Protein Interactions Based on DomainXue Li, Lifeng Yang, Xiaopan Zhang, et al.IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
Identifying Functional Modules for Axillary Lymph Node Metastasis in Breast CancerXue Li, Lifeng Yang, Fa Jiang, et al.Clinical Breast Cancer|July 17, 2024
Integration of Radiomics and Immune-Related Genes Signatures for Predicting Axillary Lymph Node Metastasis in Breast CancerXue Li, Lifeng Yang, Fa Jiang, et al.Breast Cancer (Tokyo, Japan)|February 22, 2023
Dynamic network biomarker to determine the critical point of breast cancer stage progressionFa Jiang, Lifeng Yang, Xiong JiaoGenes|December 23, 2022
Analysis of Breast Cancer Differences between China and Western Countries Based on RadiogenomicsYuanyuan Zhang, Lifeng Yang, Xiong JiaoComputational and Mathematical Methods in Medicine|February 1, 2013
A modified amino acid network model contains similar and dissimilar weightXiong Jiao, Lifeng Yang, Meiwen An, et al.International Journal of Molecular Sciences|February 8, 2012
Vinculin motion modes analysis with elastic network modelXiong Jiao, Shan Chang, Lifeng Yang, et al.Pageof 656