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

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

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

FKSUDDAPre: A drug-disease association prediction framework based on F-TEST feature selection and AMDKSU resampling with interpretability analysis

FKSUDDAPre:一种基于F-TEST特征选择和AMDKSU重采样并具有可解释性分析的药物-疾病关联预测框架

Zuo, Yun; Zhang, Chenyi; Hua, Ge; Ning, Qiao; Liu, Xiangrong; Zeng, Xiangxiang; Deng, Zhaohong

Author Correction: Interformer: an interaction-aware model for protein-ligand docking and affinity prediction

作者更正:Interformer:一种用于蛋白质-配体对接和亲和力预测的相互作用感知模型

Lai, Houtim; Wang, Longyue; Qian, Ruiyuan; Huang, Junhong; Zhou, Peng; Ye, Geyan; Wu, Fandi; Wu, Fang; Zeng, Xiangxiang; Liu, Wei

Predicting rare drug-drug interaction events with dual-granular structure-adaptive and pair variational representation

利用双粒度结构自适应和配对变分表示预测罕见药物相互作用事件

Ren, Zhonghao; Zeng, Xiangxiang; Lao, Yizhen; You, Zhuhong; Shang, Yifan; Zou, Quan; Lin, Chen

Inductive-Associative Meta-learning Pipeline with Human Cognitive Patterns for Unseen Drug-Target Interaction Prediction

基于人类认知模式的归纳联想元学习流程用于预测未见药物靶点相互作用

Lian, Xiaoqing; Lv, Tianxu; Zhu, Jie; Nie, Shiyun; Fan, Hang; Wu, Guosheng; Ge, Yunjun; Xu, Hong; Wang, Xiaoting; Li, Lihua; Zeng, Xiangxiang; Pan, Xiang

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

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

MOFormer: navigating the antimicrobial peptide design space with Pareto-based multi-objective transformer

MOFormer:利用基于帕累托的多目标变换器探索抗菌肽设计空间

Wang, Li; Fu, Xiangzheng; Yang, Jiahao; Zhang, Xinyi; Ye, Xiucai; Sakurai, Tetsuya; Zeng, Xiangxiang; Liu, Yiping

MlyPredCSED: based on extreme point deviation compensated clustering combined with cross-scale convolutional neural networks to predict multiple lysine sites in human

MlyPredCSED:基于极端点偏差补偿聚类,并结合跨尺度卷积神经网络,用于预测人类基因组中的多个赖氨酸位点。

Zuo, Yun; Fang, Xingze; Chen, Jiankang; Ji, Jiayi; Li, Yuwen; Wu, Zeyu; Liu, Xiangrong; Zeng, Xiangxiang; Deng, Zhaohong; Yin, Hongwei; Zhao, Anjing

CMOMO: a deep multi-objective optimization framework for constrained molecular multi-property optimization

CMOMO:一种用于约束分子多性质优化的深度多目标优化框架

Xia, Xin; Zhang, Yajie; Zeng, Xiangxiang; Zhang, Xingyi; Zheng, Chunhou; Su, Yansen

Artificial Intelligence in Molecular Optimization: Current Paradigms and Future Frontiers

人工智能在分子优化中的应用:当前范式与未来前沿

Xia, Xin; Zhang, Yajie; Zeng, Xiangxiang; Zhang, Xingyi; Zheng, Chunhou; Su, Yansen