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

Revealing GRK5 Activation Features by Interpretable Machine Learning and Molecular Dynamics Simulation

利用可解释机器学习和分子动力学模拟揭示GRK5激活特征

Song, Yuanpeng; Kong, Ming; Zhang, Fuhui; Pu, Xuemei

A Contrastive-Learning-Based Pre-Training Framework for Optical Property Prediction of Low-Data Rhodamines with Interpretable Multitask Graph Neural Networks

基于对比学习的低数据量罗丹明光学性质预测预训练框架及可解释多任务图神经网络

Qiu, Jiangguo; Wu, Yanling; Zhang, Hong; Li, Menglong; Pu, Xuemei; Guo, Yanzhi

Deep Clustering-Based Immunotherapy Prediction for Gastric Cancer mRNA Vaccine Development

基于深度聚类的胃癌mRNA疫苗研发免疫疗法预测

Lan, Hao; Zhao, Jinyi; Yuan, Linxi; Li, Menglong; Pu, Xuemei; Guo, Yanzhi

An inductive learning-based method for predicting drug-gene interactions using a multi-relational drug-disease-gene graph

一种基于归纳学习的药物-基因相互作用预测方法,利用多关系药物-疾病-基因图。

He, Jian; Wu, Yanling; Yuan, Linxi; Qiu, Jiangguo; Li, Menglong; Pu, Xuemei; Guo, Yanzhi

Enhancing chemistry-intuitive feature learning to improve prediction performance of optical properties

增强化学直观特征学习以提高光学性质的预测性能

Sun, Ming; Fu, Caixia; Su, Haoming; Xiao, Ruyue; Shi, Chaojie; Lu, Zhiyun; Pu, Xuemei

Comparative Pollen Morphology of Selected Species of Blumea DC. and Cyathocline Cass. and Its Taxonomic Significance

布卢梅亚属(Blumea DC.)和杯状脉轮木属(Cyathocline Cass.)部分物种花粉形态的比较及其分类学意义

Peng, Yulan; Pu, Xuemei; Yu, Qi; Zhou, Hailing; Huang, Tianfang; Xu, Bo; Gao, Xinfen

Ultra-fast triplet-triplet-annihilation-mediated high-lying reverse intersystem crossing triggered by participation of nπ*-featured excited states

由 nπ* 特征激发态参与触发的超快三重态-三重态湮灭介导的高能反向系间窜越

Luo, Yanju; Zhang, Kai; Ding, Zhenming; Chen, Ping; Peng, Xiaomei; Zhao, Yihuan; Chen, Kuan; Li, Chuan; Zheng, Xujun; Huang, Yan; Pu, Xuemei; Liu, Yu; Su, Shi-Jian; Hou, Xiandeng; Lu, Zhiyun

Immune landscape-based machine-learning-assisted subclassification, prognosis, and immunotherapy prediction for glioblastoma

基于免疫图谱的机器学习辅助胶质母细胞瘤亚型分类、预后及免疫治疗预测

Li, Haiyan; He, Jian; Li, Menglong; Li, Kun; Pu, Xuemei; Guo, Yanzhi

A Transfer-Learning-Based Deep Convolutional Neural Network for Predicting Leukemia-Related Phosphorylation Sites from Protein Primary Sequences

基于迁移学习的深度卷积神经网络用于从蛋白质一级序列预测白血病相关磷酸化位点

He, Jian; Wu, Yanling; Pu, Xuemei; Li, Menglong; Guo, Yanzhi

Prediction of Synergistic Drug Combinations for Prostate Cancer by Transcriptomic and Network Characteristics.

通过转录组学和网络特征预测前列腺癌的协同药物组合

Li Shiqi, Zhang Fuhui, Xiao Xiuchan, Guo Yanzhi, Wen Zhining, Li Menglong, Pu Xuemei