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

Exploring phenotype-related single-cells through attention-enhanced representation learning

通过注意力增强表征学习探索表型相关的单细胞

Wu, Qinhua; Ding, Junxiang; He, Ruikun; Hui, Lijian; Liu, Junwei; Li, Yixue

Single-Cell and Spatial Omics: Methods and Applications

单细胞和空间组学:方法和应用

Cen, Xiaoping; Huang, Xiaolan; Deng, Enjin; Gong, Xue; Tan, Na; Ye, Jifeng; Wang, Yin; Eils, Roland; Luo, Qun; Li, Yixue; Qu, Fangfang

Benchmarking LLM-based agents for single-cell omics analysis

基于LLM的试剂在单细胞组学分析中的基准测试

Liu, Yang; Zhou, Lu; Du, Xiawei; He, Ruikun; Zhang, Xuguang; Shen, Rongbo; Li, Yixue

Harnessing multi-omics and machine learning for predicting immune checkpoint blockade responses: Advances, challenges, and future directions

利用多组学和机器学习预测免疫检查点阻断反应:进展、挑战和未来方向

Cao, Shiwei; Liu, Junwei; Li, Yixue

Corrigendum to "EAP: A versatile cloud-based platform for efficient quantitative analysis of large-scale ChIP/ATAC-seq datasets" [Comput Struct Biotechnol J 27 (2025) 5220-5233]

对“EAP:用于高效定量分析大规模 ChIP/ATAC-seq 数据集的多功能云平台”的更正 [Comput Struct Biotechnol J 27 (2025) 5220-5233]

Zheng, Guangyong; Chen, Haojie; Guo, Zhijie; Ma, Liangxiao; Zheng, Anqin; Huang, Tao; Chen, Weiran; Tu, Shiqi; Li, Yixue; Shao, Zhen

Molecular mechanism of resistance to lonafarnib conferred by mutations in the cysteine-rich region of respiratory syncytial virus fusion glycoprotein and discovery of a lonafarnib-derived antiviral PROTAC.

呼吸道合胞病毒融合糖蛋白富含半胱氨酸区域的突变赋予了对lonafarnib产生耐药性的分子机制,并发现了lonafarnib衍生的抗病毒PROTAC。

Yang Qi, Xue Bao, Qiu Xianjie, Yang Kaixin, Tang Jielin, Zhou Anqi, Zou Jingjing, Mao Yuhan, Zhong Jiayi, Zhou Yuan, Zhang Wei, Zhang Qiong, Xiao Qingyu, Tang Wei, Li Zhiyu, Ye Wencai, Zou Gang, Peng Wei, Shang Jinsai, Xu Xi, Li Yixue, Chen Xinwen

Leveraging knowledge graphs and large language models for integrating molecular variants and clinical insights in COVID-19 research

利用知识图谱和大型语言模型整合新冠病毒研究中的分子变异和临床见解

Yang, Jiaxin; Zhang, Fushuai; Cao, Ruifang; Chen, Yingying; Chen, Yiping; Chen, Yuxin; Li, Yixue; Zhao, Guoping; Wang, Ying; Ling, Yunchao; Zhang, Guoqing

Pan-cancer analysis shapes the understanding of cancer biology and medicine

泛癌分析有助于我们理解癌症生物学和医学。

Cen, Xiaoping; Lan, Yuanyuan; Zou, Jiansheng; Chen, Ruilin; Hu, Can; Tong, Yahan; Zhang, Chen; Chen, Jingyue; Wang, Yuanmei; Zhou, Run; He, Weiwei; Lu, Tianyu; Dubee, Fred; Jovic, Dragomirka; Dong, Wei; Gao, Qingqing; Ma, Man; Lu, Youyong; Xue, Yu; Cheng, Xiangdong; Li, Yixue; Yang, Huanming

scTFBridge: a disentangled deep generative model informed by TF-motif binding for gene regulation inference in single-cell multi-omics

scTFBridge:一种基于转录因子基序结合的解耦式深度生成模型,用于单细胞多组学中的基因调控推断

Wang, Feng-Ao; Yi, Chenxin; Chen, Jiajun; He, Ruikun; Liu, Junwei; Li, Yixue

Interpretable Multimodal Fusion Model for Bridged Histology and Genomics Survival Prediction in Pan-Cancer

用于泛癌组织学和基因组学桥接生存预测的可解释多模态融合模型

Gao, Feng; Ding, Junxiang; Gai, Baowen; Cai, Du; Hu, Chuling; Wang, Feng-Ao; He, Ruikun; Liu, Junwei; Li, Yixue; Wu, Xiao-Jian