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

Machine learning model on multi-omics data enables risk stratification and identifies molecular heterogeneity and therapeutic targets in glioblastoma

基于多组学数据的机器学习模型能够对胶质母细胞瘤进行风险分层，并识别分子异质性和治疗靶点。

期刊:Molecular Cancer
影响因子:33.9
doi:10.1186/s12943-026-02637-2
Zhang, Zhenyu; Wang, Zilong; Li, Ran; Pei, Dongling; Liu, Jingdian; Qiu, Yuning; Liu, Zaoqu; Wang, Minkai; Ma, Zeyu; Duan, Wenchao; Wang, Weiwei; Yan, Jing; Guo, Yang; Liu, Haoran; Li, Wenyuan; Yu, Yinhui; Chen, Te; Ma, Caoyuan; Yu, Miaomiao; Fu, Jing; Su, Dingyuan; Li, Sen; Geng, Haotian; Yu, Bin; Zhen, Yingwei; Chen, Ruokun; Sun, Qiuchang; Zhao, Yuanshen; Duan, Jingxian; Zheng, Hairong; Liang, Dong; Liu, Xianzhi; Li, Zhi-Cheng; Ji, Yuchen; Yan, Dongming
细胞生物学
发表日期：2026
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Discovering proteo-transcriptomic networks via biologically informed heterogeneous graph learning

通过生物学信息异构图学习发现蛋白质-转录组网络

期刊:Nucleic Acids Research
影响因子:13.1
doi:10.1093/nar/gkag386
Duan, Jingxian; Liu, Yaou; Pei, Dongling; Zhou, Zijian; Zhao, Yuanshen; Deng, Jingran; Ma, Haofei; Zhao, Hong; Ma, Zeyu; Wang, Zilong; Chen, Shifu; Zheng, Hairong; Liang, Dong; Zhang, Zhenyu; Li, Zhi-Cheng
发表日期：2026
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Multimodal fusion of radio-pathology and proteogenomics identify integrated glioma subtypes with prognostic and therapeutic opportunities.

放射病理学和蛋白质基因组学的多模态融合可识别具有预后和治疗机会的整合型胶质瘤亚型

期刊:Nature Communications
影响因子:15.7
doi:10.1038/s41467-025-58675-9
Liu Zaoqu, Wu Yushuai, Xu Hui, Wang Minkai, Weng Siyuan, Pei Dongling, Chen Shuang, Wang WeiWei, Yan Jing, Cui Li, Duan Jingxian, Zhao Yuanshen, Wang Zilong, Ma Zeyu, Li Ran, Duan Wenchao, Qiu Yuning, Su Dingyuan, Li Sen, Liu Haoran, Li Wenyuan, Ma Caoyuan, Yu Miaomiao, Yu Yinhui, Chen Te, Fu Jing, Zhen YingWei, Yu Bin, Ji Yuchen, Zheng Hairong, Liang Dong, Liu Xianzhi, Yan Dongming, Han Xinwei, Wang Fubing, Li Zhi-Cheng, Zhang Zhenyu
免疫/内分泌
胶质瘤
发表日期：2025
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Integrating radiology and histology via co-attention deep learning for predicting progression-free survival in patients with metastatic prostate cancer

利用协同注意力深度学习整合放射学和组织学信息，预测转移性前列腺癌患者的无进展生存期

期刊:Chinese Medical Journal
影响因子:7.3
doi:10.1097/CM9.0000000000003697
Zhao, Yuanshen; Liu, Feng; Zhu, Chaofan; Yan, Chongzhe; Fu, Bangkang; He, Junjie; Xie, Xin; Wang, Rongpin; Li, Zhicheng
肿瘤
前列腺癌
肿瘤免疫
发表日期：2025
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Neuropathologist-level integrated classification of adult-type diffuse gliomas using deep learning from whole-slide pathological images

利用深度学习技术，从全切片病理图像中对成人型弥漫性胶质瘤进行神经病理学家级别的综合分类

期刊:Nature Communications
影响因子:15.7
doi:10.1038/s41467-023-41195-9
Wang, Weiwei; Zhao, Yuanshen; Teng, Lianghong; Yan, Jing; Guo, Yang; Qiu, Yuning; Ji, Yuchen; Yu, Bin; Pei, Dongling; Duan, Wenchao; Wang, Minkai; Wang, Li; Duan, Jingxian; Sun, Qiuchang; Wang, Shengnan; Duan, Huanli; Sun, Chen; Guo, Yu; Luo, Lin; Guo, Zhixuan; Guan, Fangzhan; Wang, Zilong; Xing, Aoqi; Liu, Zhongyi; Zhang, Hongyan; Cui, Li; Zhang, Lan; Jiang, Guozhong; Yan, Dongming; Liu, Xianzhi; Zheng, Hairong; Liang, Dong; Li, Wencai; Li, Zhi-Cheng; Zhang, Zhenyu
胶质瘤
发表日期：2023
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Imaging phenotypes from MRI for the prediction of glioma immune subtypes from RNA sequencing: A multicenter study

利用磁共振成像表型预测胶质瘤免疫亚型：一项多中心研究

期刊:Molecular Oncology
影响因子:4.5
doi:10.1002/1878-0261.13380
Duan, Jingxian; Zhang, Zhenyu; Chen, Yinsheng; Zhao, Yuanshen; Sun, Qiuchang; Wang, Weiwei; Zheng, Hairong; Liang, Dong; Cheng, Jingliang; Yan, Jing; Li, Zhi-Cheng
胶质瘤
免疫/内分泌
发表日期：2023
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Radiomic features from multiparametric magnetic resonance imaging predict molecular subgroups of pediatric low-grade gliomas

多参数磁共振成像的放射组学特征可预测儿童低级别胶质瘤的分子亚型

期刊:BMC Cancer
影响因子:3.4
doi:10.1186/s12885-023-11338-8
Liu, Zhen; Hong, Xuanke; Wang, Linglong; Ma, Zeyu; Guan, Fangzhan; Wang, Weiwei; Qiu, Yuning; Zhang, Xueping; Duan, Wenchao; Wang, Minkai; Sun, Chen; Zhao, Yuanshen; Duan, Jingxian; Sun, Qiuchang; Liu, Lin; Ding, Lei; Ji, Yuchen; Yan, Dongming; Liu, Xianzhi; Cheng, Jingliang; Zhang, Zhenyu; Li, Zhi-Cheng; Yan, Jing
胶质瘤
发表日期：2023
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Imaging-proteomic analysis for prediction of neoadjuvant chemotherapy responses in patients with breast cancer

影像蛋白质组学分析预测乳腺癌患者新辅助化疗反应

期刊:Cancer Medicine
影响因子:3.1
doi:10.1002/cam4.6704
Duan, Jingxian; Zhao, Yuanshen; Sun, Qiuchang; Liang, Dong; Liu, Zaiyi; Chen, Xin; Li, Zhi-Cheng
肿瘤
肿瘤免疫
乳腺癌
发表日期：2023
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Deep learning features from diffusion tensor imaging improve glioma stratification and identify risk groups with distinct molecular pathway activities

扩散张量成像的深度学习特征可改善胶质瘤分层，并识别具有不同分子通路活性的风险组

期刊:EBioMedicine
影响因子:10.8
doi:10.1016/j.ebiom.2021.103583
Yan, Jing; Zhao, Yuanshen; Chen, Yinsheng; Wang, Weiwei; Duan, Wenchao; Wang, Li; Zhang, Shenghai; Ding, Tianqing; Liu, Lei; Sun, Qiuchang; Pei, Dongling; Zhan, Yunbo; Zhao, Haibiao; Sun, Tao; Sun, Chen; Wang, Wenqing; Liu, Zhen; Hong, Xuanke; Wang, Xiangxiang; Guo, Yu; Li, Wencai; Cheng, Jingliang; Liu, Xianzhi; Lv, Xiaofei; Li, Zhi-Cheng; Zhang, Zhenyu
信号转导
胶质瘤
发表日期：2021
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