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Journal Abstract Search
334 related items for PubMed ID: 32219041
1. Identification of key gene modules and hub genes of human mantle cell lymphoma by coexpression network analysis. Guo D, Wang H, Sun L, Liu S, Du S, Qiao W, Wang W, Hou G, Zhang K, Li C, Teng Q. PeerJ; 2020; 8():e8843. PubMed ID: 32219041 [Abstract] [Full Text] [Related]
4. Application of Weighted Gene Coexpression Network Analysis to Identify Key Modules and Hub Genes in Systemic Juvenile Idiopathic Arthritis. Zhou M, Guo R, Wang YF, Yang W, Li R, Lu L. Biomed Res Int; 2021; 2021():9957569. PubMed ID: 34435051 [Abstract] [Full Text] [Related]
5. Weighted Gene Coexpression Network Analysis Identifies Specific Modules and Hub Genes Related to Major Depression. Zhang G, Xu S, Yuan Z, Shen L. Neuropsychiatr Dis Treat; 2020; 16():703-713. PubMed ID: 32214815 [Abstract] [Full Text] [Related]
6. Identification of Hub Genes of Keloid Fibroblasts by Coexpression Network Analysis and Degree Algorithm. Li X, Jiang R, Jin H, Huang Z. J Healthc Eng; 2022; 2022():1272338. PubMed ID: 35047146 [Abstract] [Full Text] [Related]
7. Identification and Integrate Analysis of Key Biomarkers for Diagnosis and Prognosis of Non-Small Cell Lung Cancer Based on Bioinformatics Analysis. Gong K, Zhou H, Liu H, Xie T, Luo Y, Guo H, Chen J, Tan Z, Yang Y, Xie L. Technol Cancer Res Treat; 2021; 20():15330338211060202. PubMed ID: 34825846 [Abstract] [Full Text] [Related]
9. Coexpression Module Construction by Weighted Gene Coexpression Network Analysis and Identify Potential Prognostic Markers of Breast Cancer. Wang Y, Cui K, Zhu M, Gu Y. Cancer Biother Radiopharm; 2022 Oct; 37(8):612-623. PubMed ID: 33052716 [Abstract] [Full Text] [Related]
11. Identification of Susceptibility Modules and Genes for Cardiovascular Disease in Diabetic Patients Using WGCNA Analysis. Liang W, Sun F, Zhao Y, Shan L, Lou H. J Diabetes Res; 2020 Oct; 2020():4178639. PubMed ID: 32455133 [Abstract] [Full Text] [Related]
15. Identification of gene modules and hub genes in colon adenocarcinoma associated with pathological stage based on WGCNA analysis. Wang H, Liu J, Li J, Zang D, Wang X, Chen Y, Gu T, Su W, Song N. Cancer Genet; 2020 Apr; 242():1-7. PubMed ID: 32036224 [Abstract] [Full Text] [Related]
17. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data. Zhang C, Peng L, Zhang Y, Liu Z, Li W, Chen S, Li G. Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618 [Abstract] [Full Text] [Related]
19. Key modules and hub genes identified by coexpression network analysis for revealing novel biomarkers for larynx squamous cell carcinoma. Zhang H, Zhao X, Wang M, Ji W. J Cell Biochem; 2019 Dec; 120(12):19832-19840. PubMed ID: 31310372 [Abstract] [Full Text] [Related]
20. Identification of Genes Associated with the Metastasis of Pheochromocytoma/Paraganglioma Based on Weighted Gene Coexpression Network Analysis. Su Q, Ding Q, Zhang Z, Yang Z, Qiu Y, Li X, Mo W. Biomed Res Int; 2020 Dec; 2020():3876834. PubMed ID: 32090084 [Abstract] [Full Text] [Related] Page: [Next] [New Search]