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

CTAS: a network control theory-based approach to identify key regulatory TFs of AS events during epithelial-mesenchymal transition

CTAS：一种基于网络控制理论的方法，用于识别上皮-间质转化过程中AS事件的关键调控转录因子。

期刊:Briefings in Bioinformatics
影响因子:7.7
doi:10.1093/bib/bbag042
Gan, Yan; He, Yangsong; Zhao, Pu; Ching, Wai-Ki; Qiu, Yushan
信号转导
发表日期：2026
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APDCA: An accurate and effective method for predicting associations between RBPs and AS-events during epithelial-mesenchymal transition

APDCA：一种准确有效的预测上皮-间质转化过程中RBP与AS事件之间关联的方法

期刊:PLoS Computational Biology
影响因子:3.6
doi:10.1371/journal.pcbi.1013665
He, Yangsong; Bai, Zheng-Jian; Ching, Wai-Ki; Zou, Quan; Qiu, Yushan
发表日期：2025
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miR-107 reverses the multidrug resistance of gastric cancer by targeting the CGA/EGFR/GATA2 positive feedback circuit.

miR-107 通过靶向 CGA/EGFR/GATA2 正反馈回路逆转胃癌的多药耐药性

期刊:Journal of Biological Chemistry
影响因子:3.9
doi:10.1016/j.jbc.2024.107522
Wang Pei, Zhou Yelu, Wang Juan, Zhou Yun, Zhang Xiaohui, Liu Yanxing, Li Ang, He Yangsong, Chen Shuyi, Qian Airong, Wang Xin, Nie Yongzhan, Fan Daiming, Cao Tianyu, Lu Yuanyuan, Zhao Xiaodi
肿瘤
胃癌
EGFR
发表日期：2024
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