Predicting drug transcriptional response similarity using Signed Graph Convolutional Network-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Predicting drug transcriptional response similarity using Signed Graph Convolutional Network

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
Short-container-title:

Author:

Wang Ziyan¹,Hong Chengzhi¹,Liu Xuan²,Xiong Zhankun²,Liu Feng¹,Zhang Wen²

Affiliation:

1. Wuhan University,School of Computer Science,Wuhan,China,430072

2. Huazhong Agricultural University,College of Informatics,Wuhan,China,430070

Funder

National Natural Science Foundation of China

Huazhong Agricultural University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9994793/9994847/09994907.pdf?arnumber=9994907

Reference25 articles.

1. Transcriptional data: a new gateway to drug repositioning?

2. Human Disease-Drug Network Based on Genomic Expression Profiles

3. The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease

4. Scoring functions for drug-effect similarity

5. Prediction of drug efficacy from transcriptional profiles with deep learning

同舟云学术

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