文献检索，用中文搜 PubMed

1

DeepVir: Graphical Deep Matrix Factorization for In Silico Antiviral Repositioning-Application to COVID-19.DeepVir：用于计算机辅助抗病毒药物重新定位的图形深度矩阵分解——在COVID-19中的应用

J Comput Biol. 2022 May;29(5):441-452. doi: 10.1089/cmb.2021.0108. Epub 2022 Apr 7.

2

A computational approach to aid clinicians in selecting anti-viral drugs for COVID-19 trials.一种计算方法，帮助临床医生在 COVID-19 试验中选择抗病毒药物。

Sci Rep. 2021 Apr 27;11(1):9047. doi: 10.1038/s41598-021-88153-3.

3

Computational drug repositioning using similarity constrained weight regularization matrix factorization: A case of COVID-19.基于相似性约束权重正则化矩阵分解的药物重定位计算：以 COVID-19 为例。

J Cell Mol Med. 2022 Jul;26(13):3772-3782. doi: 10.1111/jcmm.17412. Epub 2022 May 29.

4

Graph regularized non-negative matrix factorization with [Formula: see text] norm regularization terms for drug-target interactions prediction.基于 [公式：见正文] 范数正则化项的图正则化非负矩阵分解在药物-靶标相互作用预测中的应用。

BMC Bioinformatics. 2023 Oct 3;24(1):375. doi: 10.1186/s12859-023-05496-6.

5

A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2.一种通过多视图非负矩阵分解对新病毒进行抗病毒药物再利用的深度学习方法及其在 SARS-CoV-2 中的应用。

Brief Bioinform. 2022 Jan 17;23(1). doi: 10.1093/bib/bbab526.

6

Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction.基于图正则化的概率矩阵分解在药物-药物相互作用预测中的应用。

IEEE J Biomed Health Inform. 2023 May;27(5):2565-2574. doi: 10.1109/JBHI.2023.3246225. Epub 2023 May 4.

7

Microbe-disease associations prediction by graph regularized non-negative matrix factorization with norm regularization terms.基于图正则化非负矩阵分解和范数正则化项的微生物-疾病关联预测。

J Cell Mol Med. 2024 Sep;28(17):e18553. doi: 10.1111/jcmm.18553.

8

Indicator Regularized Non-Negative Matrix Factorization Method-Based Drug Repurposing for COVID-19.基于指标正则化非负矩阵分解方法的 COVID-19 药物再利用。

Front Immunol. 2021 Jan 29;11:603615. doi: 10.3389/fimmu.2020.603615. eCollection 2020.

9

DRaW: prediction of COVID-19 antivirals by deep learning-an objection on using matrix factorization.DRaW：深度学习预测 COVID-19 抗病毒药物——对使用矩阵分解的反对意见。

BMC Bioinformatics. 2023 Feb 15;24(1):52. doi: 10.1186/s12859-023-05181-8.

10

Drug-Target Interaction Prediction via Dual Laplacian Graph Regularized Logistic Matrix Factorization.通过双拉普拉斯图正则化逻辑矩阵分解进行药物-靶点相互作用预测

Biomed Res Int. 2021 Mar 26;2021:5599263. doi: 10.1155/2021/5599263. eCollection 2021.

Suppr 超能文献

文献检索

文件翻译

深度研究

Suppr 超能文献

文献检索

文件翻译

深度研究

DeepVir：用于计算机辅助抗病毒药物重新定位的图形深度矩阵分解——在COVID-19中的应用

DeepVir: Graphical Deep Matrix Factorization for In Silico Antiviral Repositioning-Application to COVID-19.

作者信息

机构信息

出版信息