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Cited by in F6Publishing
For: Xing L, Zhang X, Guo M, Zhang X, Liu F. Application of Machine Learning in Developing a Novelty Five-Pseudogene Signature to Predict Prognosis of Head and Neck Squamous Cell Carcinoma: A New Aspect of "Junk Genes" in Biomedical Practice. DNA Cell Biol 2020;39:709-23. [PMID: 32045271 DOI: 10.1089/dna.2019.5272] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Goshtasbi K, Yasaka TM, Zandi-Toghani M, Djalilian HR, Armstrong WB, Tjoa T, Haidar YM, Abouzari M. Machine learning models to predict length of stay and discharge destination in complex head and neck surgery. Head Neck 2021;43:788-97. [PMID: 33142001 DOI: 10.1002/hed.26528] [Reference Citation Analysis]
2 Carron J, Della Coletta R, Lourenço GJ. Pseudogene Transcripts in Head and Neck Cancer: Literature Review and In Silico Analysis. Genes (Basel) 2021;12:1254. [PMID: 34440428 DOI: 10.3390/genes12081254] [Reference Citation Analysis]
3 Stasiak M, Kolenda T, Kozłowska-masłoń J, Sobocińska J, Poter P, Guglas K, Paszkowska A, Bliźniak R, Teresiak A, Kazimierczak U, Lamperska K. The World of Pseudogenes: New Diagnostic and Therapeutic Targets in Cancers or Still Mystery Molecules? Life 2021;11:1354. [DOI: 10.3390/life11121354] [Reference Citation Analysis]
4 Huang SW, Tsai HP, Hung SJ, Ko WC, Wang JR. Assessing the risk of dengue severity using demographic information and laboratory test results with machine learning. PLoS Negl Trop Dis 2020;14:e0008960. [PMID: 33362244 DOI: 10.1371/journal.pntd.0008960] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Sun J, Fang G, Zuo Z, Yu X, Xue L, Li C, Li S. Identification of Immune Subtypes for Predicting the Prognosis of Patients in Head and Neck Squamous Cell Carcinoma. Technol Cancer Res Treat 2021;20:15330338211045823. [PMID: 34657509 DOI: 10.1177/15330338211045823] [Reference Citation Analysis]
6 Sun J, Yu X, Xue L, Li S, Li J, Tong D, Du Y. TP53-Associated Ion Channel Genes Serve as Prognostic Predictor and Therapeutic Targets in Head and Neck Squamous Cell Carcinoma. Technol Cancer Res Treat 2020;19:1533033820972344. [PMID: 33243093 DOI: 10.1177/1533033820972344] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
7 Adeoye J, Hui L, Koohi-Moghadam M, Tan JY, Choi SW, Thomson P. Comparison of time-to-event machine learning models in predicting oral cavity cancer prognosis. Int J Med Inform 2022;157:104635. [PMID: 34800847 DOI: 10.1016/j.ijmedinf.2021.104635] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]