日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Single-cell transcriptomics and machine-learning reveal M1 macrophage-driven progression from minimal change disease to focal segmental glomerulosclerosis

单细胞转录组学和机器学习揭示了M1巨噬细胞驱动的从微小病变肾病到局灶节段性肾小球硬化的进展

Wang, Ting-Ting; Lu, Hong; Shen, Tong; Chen, Shi-Liang; He, Yi-Bo; Song, Ding-Ming; Cui, Xiang-Fei; Tong, Ming

Dietary antioxidants and flavonoids are inversely associated with prostate cancer risk and mortality: evidence from NHANES and machine learning

膳食抗氧化剂和类黄酮与前列腺癌风险和死亡率呈负相关:来自NHANES和机器学习的证据

Jin, Yanyang; Lv, Dong-Shan; Zhou, Li-Po; Xiao, Li; Tong, Guang-Quan; Karim, Abdallah; Xue, Shuai; Tian, Hongyang; Wang, Cheng-Cai; Feng, Kun; Song, Ding-Ming; Guan, You-Liang

TRIM3 suppressed the tumorigenicity of melanoma cells by ubiquitinating YAP1.

TRIM3 通过泛素化 YAP1 来抑制黑色素瘤细胞的致瘤性

Wang Yi-Tong, Zhao Jing-Chen, Song Ding-Ming, Chen Jun-Jiang

DNA methylation and immune evasion in triple-negative breast cancer: challenges and therapeutic opportunities

DNA甲基化与三阴性乳腺癌的免疫逃逸:挑战与治疗机遇

Cai, Wen-Yu; Cai, Xin-Xian; Fei, Yi-Ran; Ye, Rui; Song, Ding-Ming; Hu, Dan; Zhang, Wan-Wan; Xia, Ming-Fei; Yang, Xiao-Xiao

Exploring new mechanisms in cancer molecular pathways and pathogenic cell transformation: PIP4K2A as a prognostic marker and therapeutic target in cutaneous malignant melanoma

探索癌症分子通路和致病细胞转化中的新机制:PIP4K2A 作为皮肤恶性黑色素瘤的预后标志物和治疗靶点

Luo, Wen-Fei; Song, Ding-Ming; Shen, Tong; He, Yi-Bo; Du, Hong-Yang; Si, Ming-Jue; Fang, Lu-Wei

Predicting survival in bladder cancer with a novel apoptotic gene-related prognostic model

利用新型凋亡基因相关预后模型预测膀胱癌患者的生存率

Song, Ding-Ming; Feng, Kun; Luo, Wen-Fei; Lv, Dong-Shan; Zhou, Li-Po; He, Yi-Bo; Jin, Yanyang