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For: Sun X, Zhang Y, Li H, Zhou Y, Shi S, Chen Z, He X, Zhang H, Li F, Yin J, Mou M, Wang Y, Qiu Y, Zhu F. DRESIS: the first comprehensive landscape of drug resistance information. Nucleic Acids Res 2023;51:D1263-75. [PMID: 36243960 DOI: 10.1093/nar/gkac812] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Yan TC, Yue ZX, Xu HQ, Liu YH, Hong YF, Chen GX, Tao L, Xie T. A systematic review of state-of-the-art strategies for machine learning-based protein function prediction. Comput Biol Med 2023;154:106446. [PMID: 36680931 DOI: 10.1016/j.compbiomed.2022.106446] [Reference Citation Analysis]
2 He H, Duo H, Hao Y, Zhang X, Zhou X, Zeng Y, Li Y, Li B. Computational drug repurposing by exploiting large-scale gene expression data: Strategy, methods and applications. Comput Biol Med 2023;155:106671. [PMID: 36805225 DOI: 10.1016/j.compbiomed.2023.106671] [Reference Citation Analysis]
3 Yue ZX, Yan TC, Xu HQ, Liu YH, Hong YF, Chen GX, Xie T, Tao L. A systematic review on the state-of-the-art strategies for protein representation. Comput Biol Med 2023;152:106440. [PMID: 36543002 DOI: 10.1016/j.compbiomed.2022.106440] [Reference Citation Analysis]