Drug repositioning based on similarity constrained probabilistic matrix factorization: COVID-19 as a case study

标题
Drug repositioning based on similarity constrained probabilistic matrix factorization: COVID-19 as a case study
作者
关键词
Drug–virus interactions prediction, Similarity constrained probabilistic matrix factorization, Drug repositioning, Drug–disease associations prediction, COVID-19
出版物
APPLIED SOFT COMPUTING
Volume -, Issue -, Pages 107135
出版商
Elsevier BV
发表日期
2021-01-23
DOI
10.1016/j.asoc.2021.107135

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started