Partner-Specific Drug Repositioning Approach Based on Graph Convolutional Network
Author:
Affiliation:
1. Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, China
2. SenseTime, Shanghai, China
Funder
National Natural Science Foundation of China
Hunan Provincial Science and Technology Program
Science and Technology innovation Program of Hunan Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics
Link
http://xplorestaging.ieee.org/ielx7/6221020/9945616/09849429.pdf?arnumber=9849429
Reference61 articles.
1. In vivo efficacy of STI571 in xenografted human small cell lung cancer alone or combined with chemotherapy
2. NGR-hTNF and Doxorubicin as Second-Line Treatment of Patients with Small Cell Lung Cancer
3. Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction
4. Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization
5. Drug repositioning based on the heterogeneous information fusion graph convolutional network
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Drug repositioning based on tripartite cross-network embedding and graph convolutional network;Expert Systems with Applications;2024-10
2. DAS-DDI: A dual-view framework with drug association and drug structure for drug–drug interaction prediction;Journal of Biomedical Informatics;2024-08
3. A Computational Framework for Predicting Novel Drug Indications Using Graph Convolutional Network With Contrastive Learning;IEEE Journal of Biomedical and Health Informatics;2024-08
4. Knowledge Graph Convolutional Network with Heuristic Search for Drug Repositioning;Journal of Chemical Information and Modeling;2024-06-05
5. GCNGAT: Drug–disease association prediction based on graph convolution neural network and graph attention network;Artificial Intelligence in Medicine;2024-04
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3