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兰州大学机构库

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EDC-DTI: An end-to-end deep collaborative learning model based on multiple information for drug-target interactions prediction 期刊论文
JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2023, 卷号: 122
Authors:  Yuan, YN(袁永娜);  Zhang, Yuhao;  Meng, Xiangbo;  Liu, Zhenyu;  Wang, Bohan;  Miao, Ruidong;  Zhang, RS(张瑞生);  Su, W(苏伟);  Liu, Lei
Favorite  |    Submit date：2023/05/25
Classification (of information)  Decoding  Deep learning  Drug interactions  Heterogeneous networks  Learning systems  Collaborative learning model  Deep learning  Drug-target interactions  Drug–target interaction prediction  End to end  Graph attention network  Heterogeneous information  Interaction prediction  Model-based OPC  Predictive performance  
EDC-DTI: An end-to-end deep collaborative learning model based on multiple information for drug-target interactions prediction 期刊论文
JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2023, 卷号: 122
Authors:  Yuan, YN(袁永娜);  Zhang, Yuhao;  Meng, Xiangbo;  Liu, Zhenyu;  Wang, Bohan;  Miao, Ruidong;  Zhang, RS(张瑞生);  Su, W(苏伟);  Liu, Lei
Favorite  |    Submit date：2023/07/18
Classification (of information)  Decoding  Deep learning  Drug interactions  Heterogeneous networks  Learning systems  Collaborative learning model  Deep learning  Drug-target interactions  Drug–target interaction prediction  End to end  Graph attention network  Heterogeneous information  Interaction prediction  Model-based OPC  Predictive performance  
EDC-DTI: An end-to-end deep collaborative learning model based on multiple information for drug-target interactions prediction 期刊论文
JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2023, 卷号: 122
Authors:  Yuan, Yongna;  Zhang, Yuhao;  Meng, Xiangbo;  Liu, Zhenyu;  Wang, Bohan;  Miao, Ruidong;  Zhang, Ruisheng;  Su, Wei;  Liu, Lei
Favorite  |    Submit date：2023/07/18
DTIs prediction  Deep learning  Graph attention network  Heterogeneous network  
Machine learning-based prediction models for pressure injury: A systematic review and meta-analysis 期刊论文
International Wound Journal, 2023
Authors:  Pei, Juhong;  Guo, Xiaojing;  Tao, Hongxia;  Wei, Yuting;  Zhang, Hongyan;  Ma, Yuxia;  Han, Lin
Favorite  |    Submit date：2023/07/18
machine learning algorithm  meta-analysis  predictive modelling  pressure injury  
Transformer-based deep learning method for optimizing ADMET properties of lead compounds 期刊论文
PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2023, 卷号: 25, 期号: 3, 页码: 2377-2385
Authors:  Yang, Lijuan;  Jin, Chao;  Yang, Guanghui;  Bing, Zhitong;  Huang, Liang;  Niu, Yuzhen;  Yang, L(杨磊)
Favorite  |    Submit date：2023/05/25
Binding energy  Bioactivity  Deep learning  Forecasting  Lead compounds  Learning systems  Scaffolds  Absorption distribution  Absorption property  Coordinated optimization  Distribution property  Learning methods  Molecular optimization  Pharmacokinetic properties  Prediction modelling  Property  Toxicity properties  
Transformer-based deep learning method for optimizing ADMET properties of lead compounds 期刊论文
PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2023, 卷号: 25, 期号: 3, 页码: 2377-2385
Authors:  Yang, Lijuan;  Jin, Chao;  Yang, Guanghui;  Bing, Zhitong;  Huang, Liang;  Niu, Yuzhen;  Yang, Lei
Favorite  |    Submit date：2023/07/18
Binding energy  Bioactivity  Deep learning  Forecasting  Lead compounds  Learning systems  Scaffolds  Absorption distribution  Absorption property  Coordinated optimization  Distribution property  Learning methods  Molecular optimization  Pharmacokinetic properties  Prediction modelling  Property  Toxicity properties  
Development and validation of an ECM-related prognostic signature to predict the immune landscape of human hepatocellular carcinoma 期刊论文
BMC CANCER, 2022, 卷号: 22, 期号: 1
Authors:  Wu, Guozhi;  Yang, Yuan;  Ye, Rong;  Yue, Hanxun;  Zhang, Huiyun;  Huang, Taobi;  Liu, Min;  Zheng, Ya;  Wang, Yuping;  Zhou, Yongning...Wu, Guozhi;  Yang, Yuan;  Ye, Rong;  Yue, Hanxun;  Zhang, Huiyun;  Huang, Taobi;  Liu, Min;  Zheng, Ya;  Wang, Yuping;  Zhou, Yongning;  Guo, Qinghong
Favorite  |    Submit date：2022/11/09
Hepatocellular carcinoma  Extracellular matrix  LncRNA  Immune infiltration  Tumour mutation burden  
A simple approach to the prediction of soil sorption of organophosphorus pesticides 期刊论文
JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH PART B-PESTICIDES FOOD CONTAMINANTS AND AGRICULTURAL WASTES, 2021, 卷号: 56, 期号: 6, 页码: 606-612
Authors:  Muhire, Jules;  Li, Sha Sha;  Yin, Bo;  Mi, Jia Ying;  Zhai, Hong Lin
Favorite  |    Submit date：2021/08/12
Quantitative structure-property relationship (QSPR)  soil sorption  chemometrics and Tchebichef image moment  organophosphorus pesticides  
An Effective Method for Canopy Chlorophyll Content Estimation of Marsh Vegetation Based on Multiscale Remote Sensing Data 期刊论文
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 卷号: 14, 页码: 5311-5325
Authors:  P. Lou;  B. Fu;  H. He;  J. Chen;  T. Wu;  X. Lin;  L. Liu;  D. Fan;  T. Deng
Adobe PDF(1377Kb)  |  Favorite  |    Submit date：2021/06/18
Canopy chlorophyll content (CCC)  multiscale remote sensing data  random forest (RF) regression  scale matching  unmanned aerial vehicle (UAV)  
AI-Based Susceptibility Analysis of Shallow Landslides Induced by Heavy Rainfall in Tianshui, China 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 9
Authors:  Qi, Tianjun;  Zhao, Y(赵妍);  Meng, Xingmin;  Chen, Guan;  Dijkstra, Tom
Adobe PDF(8520Kb)  |  Favorite  |    Submit date：2021/06/17
heavy rainfalllandslide inventorymachine learningsusceptibility mapping  Machine learning  Rain  Remote sensing  Geomorphic conditions  Landslide inventories  Landslide susceptibility  Landslide susceptibility assessments  Machine learning models  Normalized differences  Remote sensing images  Susceptibility analysis