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Cited by in F6Publishing
For: Huang G, Wang C, Fu X. Bidirectional deep neural networks to integrate RNA and DNA data for predicting outcome for patients with hepatocellular carcinoma. Future Oncol 2021. [PMID: 34374301 DOI: 10.2217/fon-2021-0659] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Liao J, Li X, Gan Y, Han S, Rong P, Wang W, Li W, Zhou L. Artificial intelligence assists precision medicine in cancer treatment. Front Oncol 2022;12:998222. [PMID: 36686757 DOI: 10.3389/fonc.2022.998222] [Reference Citation Analysis]
2 Yuan T, Edelmann D, Fan Z, Alwers E, Kather JN, Brenner H, Hoffmeister M. Machine learning in the identification of prognostic DNA methylation biomarkers among patients with cancer: a systematic review of epigenome-wide studies.. [DOI: 10.1101/2022.09.02.22279533] [Reference Citation Analysis]
3 Wei Z, Han D, Zhang C, Wang S, Liu J, Chao F, Song Z, Chen G. Deep Learning-Based Multi-Omics Integration Robustly Predicts Relapse in Prostate Cancer. Front Oncol 2022;12:893424. [DOI: 10.3389/fonc.2022.893424] [Reference Citation Analysis]
4 Hong N, Sun G, Zuo X, Chen M, Liu L, Wang J, Feng X, Shi W, Gong M, Ma P. Application of informatics in cancer research and clinical practice: Opportunities and challenges. Cancer Innovation 2022;1:80-91. [DOI: 10.1002/cai2.9] [Reference Citation Analysis]
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