107 related articles for article (PubMed ID: 36905262)
21. Bioinformatic analysis of key pathways and genes shared between endometriosis and ovarian cancer.
Ni L; Chen Y; Yang J; Chen C
Arch Gynecol Obstet; 2022 May; 305(5):1329-1342. PubMed ID: 34727222
[TBL] [Abstract][Full Text] [Related]
22. Identification of the critical genes and miRNAs in hepatocellular carcinoma by integrated bioinformatics analysis.
Wang J; Wang C; Yang L; Li K
Med Oncol; 2022 Jan; 39(2):21. PubMed ID: 34982264
[TBL] [Abstract][Full Text] [Related]
23. Identifying hub genes and miRNAs in Crohn's disease by bioinformatics analysis.
Sun Y; Cai D; Hu W; Fang T
Front Genet; 2022; 13():950136. PubMed ID: 36118873
[No Abstract] [Full Text] [Related]
24. BCL2 and hsa-miR-181a-5p are potential biomarkers associated with papillary thyroid cancer based on bioinformatics analysis.
Zhang C; Bo C; Guo L; Yu P; Miao S; Gu X
World J Surg Oncol; 2019 Dec; 17(1):221. PubMed ID: 31842912
[TBL] [Abstract][Full Text] [Related]
25. Bioinformatics analysis of prognostic value and prospective pathway signal of miR-30a in ovarian cancer.
Lu W; Wu Y; Lu CX; Zhu T; Ren ZL; Yu Z
J Ovarian Res; 2020 Oct; 13(1):120. PubMed ID: 33004058
[TBL] [Abstract][Full Text] [Related]
26. Identification of Hub Genes in the Pathogenesis of Ischemic Stroke Based on Bioinformatics Analysis.
Yang X; Yan S; Wang P; Wang G
J Korean Neurosurg Soc; 2022 Sep; 65(5):697-709. PubMed ID: 35577542
[TBL] [Abstract][Full Text] [Related]
27. Identification of dysregulated miRNAs-genes network in ovarian cancer: An integrative approach to uncover the molecular interactions and oncomechanisms.
Kadkhoda S; Darbeheshti F; Tavakkoly-Bazzaz J
Cancer Rep (Hoboken); 2020 Dec; 3(6):e1286. PubMed ID: 32886452
[TBL] [Abstract][Full Text] [Related]
28. Both Peripheral Blood and Urinary miR-195-5p, miR-192-3p, miR-328-5p and Their Target Genes PPM1A, RAB1A and BRSK1 May Be Potential Biomarkers for Membranous Nephropathy.
Zhou G; Zhang X; Wang W; Zhang W; Wang H; Xin G
Med Sci Monit; 2019 Mar; 25():1903-1916. PubMed ID: 30865617
[TBL] [Abstract][Full Text] [Related]
29. Identification of keygenes, miRNAs and miRNA-mRNA regulatory pathways for chemotherapy resistance in ovarian cancer.
Wang W; Zhang W; Hu Y
PeerJ; 2021; 9():e12353. PubMed ID: 34820170
[TBL] [Abstract][Full Text] [Related]
30. Mitochondria-related core genes and TF-miRNA-hub mrDEGs network in breast cancer.
Yan LR; Wang A; Lv Z; Yuan Y; Xu Q
Biosci Rep; 2021 Jan; 41(1):. PubMed ID: 33439992
[TBL] [Abstract][Full Text] [Related]
31. Identification of key miRNAs and their targets in peripheral blood mononuclear cells of IgA nephropathy using bioinformatics analysis.
Liu L; Yang Y; Yu D
Medicine (Baltimore); 2021 Jul; 100(26):e26495. PubMed ID: 34190177
[TBL] [Abstract][Full Text] [Related]
32. Identification of key microRNAs and hub genes in non-small-cell lung cancer using integrative bioinformatics and functional analyses.
Song F; Xuan Z; Yang X; Ye X; Pan Z; Fang Q
J Cell Biochem; 2020 Mar; 121(3):2690-2703. PubMed ID: 31692035
[TBL] [Abstract][Full Text] [Related]
33. Study on potential differentially expressed genes in stroke by bioinformatics analysis.
Yang X; Wang P; Yan S; Wang G
Neurol Sci; 2022 Feb; 43(2):1155-1166. PubMed ID: 34313877
[TBL] [Abstract][Full Text] [Related]
34. Identification of candidate biomarkers and analysis of prognostic values in ovarian cancer by integrated bioinformatics analysis.
Xu Z; Zhou Y; Cao Y; Dinh TL; Wan J; Zhao M
Med Oncol; 2016 Nov; 33(11):130. PubMed ID: 27757782
[TBL] [Abstract][Full Text] [Related]
35. Using biological information to analyze potential miRNA-mRNA regulatory networks in the plasma of patients with non-small cell lung cancer.
Zhang W; Zhang Q; Che L; Xie Z; Cai X; Gong L; Li Z; Liu D; Liu S
BMC Cancer; 2022 Mar; 22(1):299. PubMed ID: 35313857
[TBL] [Abstract][Full Text] [Related]
36. MicroRNA profiling reveals dysregulated microRNAs and their target gene regulatory networks in cemento-ossifying fibroma.
Pereira TDSF; Brito JAR; Guimarães ALS; Gomes CC; de Lacerda JCT; de Castro WH; Coimbra RS; Diniz MG; Gomez RS
J Oral Pathol Med; 2018 Jan; 47(1):78-85. PubMed ID: 29032608
[TBL] [Abstract][Full Text] [Related]
37. Identification of key microRNAs associated with diffuse large B-cell lymphoma by analyzing serum microRNA expressions.
Meng Y; Quan L; Liu A
Gene; 2018 Feb; 642():205-211. PubMed ID: 29128636
[TBL] [Abstract][Full Text] [Related]
38. Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis.
Li T; Gao X; Han L; Yu J; Li H
World J Surg Oncol; 2018 Jun; 16(1):114. PubMed ID: 29921304
[TBL] [Abstract][Full Text] [Related]
39. Identification of Functional Genes in Pterygium Based on Bioinformatics Analysis.
Xu Y; Qiao C; He S; Lu C; Dong S; Wu X; Yan M; Zheng F
Biomed Res Int; 2020; 2020():2383516. PubMed ID: 33299863
[TBL] [Abstract][Full Text] [Related]
40. Identification of epithelial-mesenchymal transition-related circRNA-miRNA-mRNA ceRNA regulatory network in breast cancer.
Sang M; Wu M; Meng L; Zheng Y; Gu L; Liu F; Sang M
Pathol Res Pract; 2020 Sep; 216(9):153088. PubMed ID: 32825956
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
