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| For: | Wang R, Li S, Cheng L, Wong MH, Leung KS. Predicting associations among drugs, targets and diseases by tensor decomposition for drug repositioning. BMC Bioinformatics 2019;20:628. [PMID: 31839008 DOI: 10.1186/s12859-019-3283-6] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 1.3] [Reference Citation Analysis] |
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| Number | Citing Articles |
| 1 | Wieder R, Adam N. DRUG REPOSITIONING FOR CANCER IN THE ERA OF BIG OMICS AND REAL-WORLD DATA. Critical Reviews in Oncology/Hematology 2022. [DOI: 10.1016/j.critrevonc.2022.103730] [Reference Citation Analysis] |
| 2 | Galan-Vasquez E, Perez-Rueda E. A landscape for drug-target interactions based on network analysis. PLoS One 2021;16:e0247018. [PMID: 33730052 DOI: 10.1371/journal.pone.0247018] [Reference Citation Analysis] |
| 3 | Tarín-Pelló A, Suay-García B, Pérez-Gracia MT. Antibiotic resistant bacteria: current situation and treatment options to accelerate the development of a new antimicrobial arsenal. Expert Rev Anti Infect Ther 2022. [PMID: 35576494 DOI: 10.1080/14787210.2022.2078308] [Reference Citation Analysis] |
| 4 | Low ZY, Farouk IA, Lal SK. Drug Repositioning: New Approaches and Future Prospects for Life-Debilitating Diseases and the COVID-19 Pandemic Outbreak. Viruses 2020;12:E1058. [PMID: 32972027 DOI: 10.3390/v12091058] [Cited by in Crossref: 9] [Cited by in F6Publishing: 3] [Article Influence: 4.5] [Reference Citation Analysis] |
| 5 | Vatansever S, Schlessinger A, Wacker D, Kaniskan HÜ, Jin J, Zhou MM, Zhang B. Artificial intelligence and machine learning-aided drug discovery in central nervous system diseases: State-of-the-arts and future directions. Med Res Rev 2021;41:1427-73. [PMID: 33295676 DOI: 10.1002/med.21764] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis] |
| 6 | Yang X, Wang W, Ma JL, Qiu YL, Lu K, Cao DS, Wu CK. BioNet: a large-scale and heterogeneous biological network model for interaction prediction with graph convolution. Brief Bioinform 2021:bbab491. [PMID: 34849567 DOI: 10.1093/bib/bbab491] [Reference Citation Analysis] |