A new advanced in silico drug discovery method for novel coronavirus (SARS-CoV-2) with tensor decomposition-based unsupervised feature extraction
Author:
Funder
Japan Society for the Promotion of Science
King Abdulaziz University
Publisher
Public Library of Science (PLoS)
Subject
Multidisciplinary
Reference42 articles.
1. Computers and viral diseases. Preliminary bioinformatics studies on the design of a synthetic vaccine and a preventative peptidomimetic antagonist against the SARS-CoV-2 (2019-nCoV, COVID-19) coronavirus;B Robson;Computers in Biology and Medicine,2020
2. Neurological Disorder Drug Discovery from Gene Expression with Tensor Decomposition;YH Taguchi;Current Pharmaceutical Design,2019
3. Drug candidate identification based on gene expression of treated cells using tensor decomposition-based unsupervised feature extraction for large-scale data;Y Taguchi;BMC bioinformatics,2019
4. Identification of candidate drugs using tensor-decomposition-based unsupervised feature extraction in integrated analysis of gene expression between diseases and DrugMatrix datasets;YH Taguchi;Scientific reports,2017
5. Unsupervised Feature Extraction Applied to Bioinformatics
Cited by 43 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. Compensatory role of KatG in defending H2O2stress inmsrdeletion strain ofSalmonellaTyphimurium;2024-09-04
2. Construction a six-gene prognostic model for hepatocellular carcinoma based on WGCNA co-expression network;Journal of Holistic Integrative Pharmacy;2024-06
3. Novel Automatic Classification of Human Adult Lung Alveolar Type II Cells Infected with SARS-CoV-2 through the Deep Transfer Learning Approach;Mathematics;2024-05-17
4. maGENEgerZ: An Efficient Artificial Intelligence-Based Framework Can Extract More Expressed Genes and Biological Insights Underlying Breast Cancer Drug Response Mechanism;Mathematics;2024-05-15
5. Novel Automatic Classification of Human Adult Lung Alveolar Type II Cells Infected with SARS-CoV-2 through Deep Transfer Learning Approach;2024-04-22
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