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Cited by in F6Publishing
For: Kong L, Liu P, Zheng M, Xue B, Liang K, Tan X. Multi-omics analysis based on integrated genomics, epigenomics and transcriptomics in pancreatic cancer. Epigenomics 2020;12:507-24. [PMID: 32048534 DOI: 10.2217/epi-2019-0374] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Brady C. Welcome to the 13th volume of Epigenomics. Epigenomics 2021;13:1-3. [PMID: 33322925 DOI: 10.2217/epi-2020-0428] [Reference Citation Analysis]
2 Huang H, Zhang L, Fu J, Tian T, Liu X, Liu Y, Sun H, Li D, Zhu L, Xu J, Zheng T, Jia C, Zhao Y. Development and validation of 3-CpG methylation prognostic signature based on different survival indicators for colorectal cancer. Mol Carcinog 2021;60:403-12. [PMID: 33826760 DOI: 10.1002/mc.23300] [Reference Citation Analysis]
3 Kong L, Liu P, Fei X, Wu T, Wang Z, Zhang B, Li J, Tan X. A Prognostic Prediction Model Developed Based on Four CpG Sites and Weighted Correlation Network Analysis Identified DNAJB1 as a Novel Biomarker for Pancreatic Cancer. Front Oncol 2020;10:1716. [PMID: 32984053 DOI: 10.3389/fonc.2020.01716] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
4 Liu JQ, Liao XW, Wang XK, Yang CK, Zhou X, Liu ZQ, Han QF, Fu TH, Zhu GZ, Han CY, Su H, Huang JL, Ruan GT, Yan L, Ye XP, Peng T. Prognostic value of Glypican family genes in early-stage pancreatic ductal adenocarcinoma after pancreaticoduodenectomy and possible mechanisms.BMC Gastroenterol. 2020;20:415. [PMID: 33302876 DOI: 10.1186/s12876-020-01560-0] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
5 Shen Y, Xiong W, Gu Q, Zhang Q, Yue J, Liu C, Wang D. Multi-Omics Integrative Analysis Uncovers Molecular Subtypes and mRNAs as Therapeutic Targets for Liver Cancer. Front Med (Lausanne) 2021;8:654635. [PMID: 34109194 DOI: 10.3389/fmed.2021.654635] [Reference Citation Analysis]
6 Kane LE, Mellotte GS, Conlon KC, Ryan BM, Maher SG. Multi-Omic Biomarkers as Potential Tools for the Characterisation of Pancreatic Cystic Lesions and Cancer: Innovative Patient Data Integration. Cancers (Basel) 2021;13:769. [PMID: 33673153 DOI: 10.3390/cancers13040769] [Reference Citation Analysis]