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Cited by in F6Publishing
For: Tian X, Shen L, Gao P, Huang L, Liu G, Zhou L, Peng L. Discovery of Potential Therapeutic Drugs for COVID-19 Through Logistic Matrix Factorization With Kernel Diffusion. Front Microbiol 2022;13:740382. [DOI: 10.3389/fmicb.2022.740382] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Hashemi SM, Zabihian A, Hooshmand M, Gharaghani S. DRaW: prediction of COVID-19 antivirals by deep learning-an objection on using matrix factorization. BMC Bioinformatics 2023;24:52. [PMID: 36793010 DOI: 10.1186/s12859-023-05181-8] [Reference Citation Analysis]
2 Ramírez Salinas GL, López Rincón A, García Machorro J, Correa Basurto J, Martínez Archundia M. In Silico Screening of Drugs That Target Different Forms of E Protein for Potential Treatment of COVID-19. Pharmaceuticals 2023;16:296. [DOI: 10.3390/ph16020296] [Reference Citation Analysis]
3 Li S, Chang M, Tong L, Wang Y, Wang M, Wang F. Screening potential lncRNA biomarkers for breast cancer and colorectal cancer combining random walk and logistic matrix factorization. Front Genet 2022;13:1023615. [PMID: 36744179 DOI: 10.3389/fgene.2022.1023615] [Reference Citation Analysis]
4 Zhang Z, Xu J, Wu Y, Liu N, Wang Y, Liang Y. CapsNet-LDA: predicting lncRNA-disease associations using attention mechanism and capsule network based on multi-view data. Brief Bioinform 2023;24:bbac531. [PMID: 36511221 DOI: 10.1093/bib/bbac531] [Reference Citation Analysis]
5 Zhai S, Li X, Wu Y, Shi X, Ji B, Qiu C. Identifying potential microRNA biomarkers for colon cancer and colorectal cancer through bound nuclear norm regularization. Front Genet 2022;13:980437. [PMID: 36313468 DOI: 10.3389/fgene.2022.980437] [Reference Citation Analysis]
6 Guo H, Li T, Wen H. Identifying shared genetic loci between coronavirus disease 2019 and cardiovascular diseases based on cross-trait meta-analysis. Front Microbiol 2022;13:993933. [DOI: 10.3389/fmicb.2022.993933] [Reference Citation Analysis]
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