Jin Shuting相关文献与解析，生知库 | 链接生命科学的每一步

Xu, Junlin; Guo, Cheng; Meng, Yajie; Jin, Shuting; Lu, Changcheng; Zhang, Zilong; Cui, Feifei; Fu, Xiangzheng; Zou, Quan; Tian, Tian; Zeng, Xiangxiang

细胞生物学

单细胞

发表日期：2026

文献求助收藏

Deep learning-based cell-specific gene regulatory networks inferred from single-cell multiome data

基于深度学习的单细胞多组数据推断细胞特异性基因调控网络

期刊:Nucleic Acids Research

影响因子:13.1

doi:10.1093/nar/gkaf138

Xu, Junlin; Lu, Changcheng; Jin, Shuting; Meng, Yajie; Fu, Xiangzheng; Zeng, Xiangxiang; Nussinov, Ruth; Cheng, Feixiong

Accurate prediction of synergistic drug combination using a multi-source information fusion framework

利用多源信息融合框架准确预测协同药物组合

期刊:BMC Biology

影响因子:4.5

doi:10.1186/s12915-025-02302-y

Jin, Shuting; Long, Huaze; Huang, Anqi; Wang, Jianming; Yu, Xuan; Xu, Zhiwei; Xu, Junlin

发表日期：2025

文献求助收藏

Drug target affinity prediction based on multi-scale gated power graph and multi-head linear attention mechanism

基于多尺度门控功率图和多头线性注意力机制的药物靶点亲和力预测

期刊:PLoS One

影响因子:2.6

doi:10.1371/journal.pone.0315718

Hu, Shuo; Hu, Jing; Zhang, Xiaolong; Jin, Shuting; Xu, Xin

发表日期：2025

文献求助收藏

Prediction of drug-target interactions based on substructure subsequences and cross-public attention mechanism

基于子结构子序列和跨公共注意力机制的药物-靶点相互作用预测

期刊:PLoS One

影响因子:2.6

doi:10.1371/journal.pone.0324146

Shi, Haikuo; Hu, Jing; Zhang, Xiaolong; Jin, Shuting; Xu, Xin

发表日期：2025

文献求助收藏

An image-based protein-ligand binding representation learning framework via multi-level flexible dynamics trajectory pre-training

基于图像的蛋白质-配体结合表征学习框架，通过多级灵活动力学轨迹预训练

期刊:

影响因子:

doi:10.1093/bioinformatics/btaf535

Xiang, Hongxin; Liu, Mingquan; Hou, Linlin; Jin, Shuting; Wang, Jianmin; Xia, Jun; Du, Wenjie; Yuan, Sisi; Fu, Xiangzheng; Yang, Xinyu; Zeng, Li; Xu, Lei

发表日期：2025

文献求助收藏

Assessment of MGMT promoter methylation status in glioblastoma using deep learning features from multi-sequence MRI of intratumoral and peritumoral regions

利用来自肿瘤内和肿瘤周围区域的多序列MRI的深度学习特征评估胶质母细胞瘤中MGMT启动子甲基化状态

期刊:Cancer Imaging

影响因子:3.5

doi:10.1186/s40644-024-00817-1

Yu, Xuan; Zhou, Jing; Wu, Yaping; Bai, Yan; Meng, Nan; Wu, Qingxia; Jin, Shuting; Liu, Huanhuan; Li, Panlong; Wang, Meiyun

Improving molecular representation learning with metric learning-enhanced optimal transport

利用度量学习增强的最优传输改进分子表征学习

期刊:Patterns

影响因子:7.4

doi:10.1016/j.patter.2023.100714

Wu, Fang; Courty, Nicolas; Jin, Shuting; Li, Stan Z

发表日期：2023

文献求助收藏

A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks

一种用于微观到宏观生物医学网络中药物多任务预测的通用超图学习算法

期刊:PLoS Computational Biology

影响因子:3.6

doi:10.1371/journal.pcbi.1011597

Jin, Shuting; Hong, Yue; Zeng, Li; Jiang, Yinghui; Lin, Yuan; Wei, Leyi; Yu, Zhuohang; Zeng, Xiangxiang; Liu, Xiangrong

发表日期：2023

文献求助收藏

HeTDR: Drug repositioning based on heterogeneous networks and text mining.

HeTDR：基于异构网络和文本挖掘的药物重定位

期刊:Patterns

影响因子:7.4

doi:10.1016/j.patter.2021.100307

Jin Shuting, Niu Zhangming, Jiang Changzhi, Huang Wei, Xia Feng, Jin Xurui, Liu Xiangrong, Zeng Xiangxiang

发表日期：2021

文献求助收藏

A deep adversarial network model for multi-task analysis of single-cell omics data

用于单细胞组学数据多任务分析的深度对抗网络模型

Deep learning-based cell-specific gene regulatory networks inferred from single-cell multiome data

基于深度学习的单细胞多组数据推断细胞特异性基因调控网络

Accurate prediction of synergistic drug combination using a multi-source information fusion framework

利用多源信息融合框架准确预测协同药物组合

Drug target affinity prediction based on multi-scale gated power graph and multi-head linear attention mechanism

基于多尺度门控功率图和多头线性注意力机制的药物靶点亲和力预测

Prediction of drug-target interactions based on substructure subsequences and cross-public attention mechanism

基于子结构子序列和跨公共注意力机制的药物-靶点相互作用预测

An image-based protein-ligand binding representation learning framework via multi-level flexible dynamics trajectory pre-training

基于图像的蛋白质-配体结合表征学习框架，通过多级灵活动力学轨迹预训练

Assessment of MGMT promoter methylation status in glioblastoma using deep learning features from multi-sequence MRI of intratumoral and peritumoral regions

利用来自肿瘤内和肿瘤周围区域的多序列MRI的深度学习特征评估胶质母细胞瘤中MGMT启动子甲基化状态

Improving molecular representation learning with metric learning-enhanced optimal transport

利用度量学习增强的最优传输改进分子表征学习

A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks

一种用于微观到宏观生物医学网络中药物多任务预测的通用超图学习算法

HeTDR: Drug repositioning based on heterogeneous networks and text mining.

HeTDR：基于异构网络和文本挖掘的药物重定位