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Frontiers in Genetics|December 28, 2020
Expression and Prognostic Characteristics of m6 A RNA Methylation Regulators in Breast CancerBo Zhang, Yanlin Gu, Guoqin JiangNeural Networks : the Official Journal of the International Neural Network Society|August 3, 2026
Robust formation tracking of multi-agent systems via reinforcement learning-based hybrid impulsive controlZhanlue Liang, Yanlin Gu, Yiwen Tao, et al.Cancer Cell International|December 3, 2024
Identification of a novel immune-related gene signature by single-cell and bulk sequencing for the prediction of the immune landscape and prognosis of breast cancerYanlin Gu, Zhengyang Feng, Xiaoyan Xu, et al.Journal of Cellular and Molecular Medicine|November 25, 2024
LINC01929 Is a Prognostic Biomarker for Multiple Tumours and Promotes Cell Proliferation in Breast Cancer Through the TNF/STAT3 AxisYanlin Gu, Zhengyang Feng, Xiaoyan Xu, et al.Clinical & Translational Oncology : Official Publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico|February 2, 2026
Integrative analysis of SEC13: a prognostic predictor and immunotherapeutic targetYanlin Gu, Yang Yu, Kaiming Liu, et al.Cancer Biomarkers : Section a of Disease Markers|January 24, 2022
Identifying glycolysis-related LncRNAs for predicting prognosis in breast cancer patientsJiayue Zou, Yanlin Gu, Qi Zhu, et al.Translational Lung Cancer Research|May 22, 2026
LUADnet: a deep learning model for prediction of clinical outcomes in lung adenocarcinoma based on gene expression signaturesCheng Cheng, Zhanlue Liang, Renjie Xu, et al.Japanese Journal of Clinical Oncology|February 9, 2023
HER2-low status may predict poor neoadjuvant chemotherapy response in HR-negative breast cancer: a real-world multicenter studyWeiwei Xu, Yunshan Jiang, Lingyun Xu, et al.Pageof 1