227 related articles for article (PubMed ID: 29620197)
21. Identification of key pathogenic genes of sepsis based on the Gene Expression Omnibus database.
Lu X; Xue L; Sun W; Ye J; Zhu Z; Mei H
Mol Med Rep; 2018 Feb; 17(2):3042-3054. PubMed ID: 29257295
[TBL] [Abstract][Full Text] [Related]
22. Identification of genes and key pathways underlying the pathophysiological association between nonalcoholic fatty liver disease and atrial fibrillation.
Chu Y; Yu F; Wu Y; Yang J; Shi J; Ye T; Han D; Wang X
BMC Med Genomics; 2022 Jul; 15(1):150. PubMed ID: 35790963
[TBL] [Abstract][Full Text] [Related]
23. ATP Citrate Lyase and LncRNA NONMMUT010685 Play Crucial Role in Nonalcoholic Fatty Liver Disease Based on Analysis of Microarray Data.
Ma TT; Huang C; Ni Y; Yang Y; Li J
Cell Physiol Biochem; 2018; 51(2):871-885. PubMed ID: 30466110
[TBL] [Abstract][Full Text] [Related]
24. Bioinformatics analysis of fibroblasts exposed to TGF‑β at the early proliferation phase of wound repair.
Mi B; Liu G; Zhou W; Lv H; Zha K; Liu Y; Wu Q; Liu J
Mol Med Rep; 2017 Dec; 16(6):8146-8154. PubMed ID: 28983581
[TBL] [Abstract][Full Text] [Related]
25. Identification of key genes and crucial modules associated with coronary artery disease by bioinformatics analysis.
Zhang X; Cheng X; Liu H; Zheng C; Rao K; Fang Y; Zhou H; Xiong S
Int J Mol Med; 2014 Sep; 34(3):863-9. PubMed ID: 24969630
[TBL] [Abstract][Full Text] [Related]
26. Integrated analysis of differentially expressed genes and pathways in triple‑negative breast cancer.
Peng C; Ma W; Xia W; Zheng W
Mol Med Rep; 2017 Mar; 15(3):1087-1094. PubMed ID: 28075450
[TBL] [Abstract][Full Text] [Related]
27. Intracellular and extracellular miRNome deregulation in cellular models of NAFLD or NASH: Clinical implications.
Di Mauro S; Ragusa M; Urbano F; Filippello A; Di Pino A; Scamporrino A; Pulvirenti A; Ferro A; Rabuazzo AM; Purrello M; Purrello F; Piro S
Nutr Metab Cardiovasc Dis; 2016 Dec; 26(12):1129-1139. PubMed ID: 27756518
[TBL] [Abstract][Full Text] [Related]
28. Prediction of crucial epigenetically‑associated, differentially expressed genes by integrated bioinformatics analysis and the identification of S100A9 as a novel biomarker in psoriasis.
Wang X; Liu X; Liu N; Chen H
Int J Mol Med; 2020 Jan; 45(1):93-102. PubMed ID: 31746348
[TBL] [Abstract][Full Text] [Related]
29. Integrated microarray analysis provided novel insights to the pathogenesis of glaucoma.
Wang J; Qu D; An J; Yuan G; Liu Y
Mol Med Rep; 2017 Dec; 16(6):8735-8746. PubMed ID: 28990066
[TBL] [Abstract][Full Text] [Related]
30. Integrated analysis of the gene expression profile and DNA methylation profile of obese patients with type 2 diabetes.
Shen J; Zhu B
Mol Med Rep; 2018 Jun; 17(6):7636-7644. PubMed ID: 29620215
[TBL] [Abstract][Full Text] [Related]
31. A comprehensive analysis of candidate genes and pathways in pancreatic cancer.
Liu J; Li J; Li H; Li A; Liu B; Han L
Tumour Biol; 2015 Mar; 36(3):1849-57. PubMed ID: 25409614
[TBL] [Abstract][Full Text] [Related]
32. Bioinformatics analysis of the molecular mechanisms underlying traumatic spinal cord injury.
Zhao SJ; Zhou W; Chen J; Luo YJ; Yin GY
Mol Med Rep; 2018 Jun; 17(6):8484-8492. PubMed ID: 29693160
[TBL] [Abstract][Full Text] [Related]
33. Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis.
Mou T; Zhu D; Wei X; Li T; Zheng D; Pu J; Guo Z; Wu Z
World J Surg Oncol; 2017 Mar; 15(1):63. PubMed ID: 28302149
[TBL] [Abstract][Full Text] [Related]
34. Identification of genes associated with osteoarthritis by microarray analysis.
Sun J; Yan B; Yin W; Zhang X
Mol Med Rep; 2015 Oct; 12(4):5211-6. PubMed ID: 26151199
[TBL] [Abstract][Full Text] [Related]
35. Using bioinformatics and systems biology methods to identify the mechanism of interaction between COVID-19 and nonalcoholic fatty liver disease.
Dong W; Jin Y; Shi H; Zhang X; Chen J; Jia H; Zhang Y
Medicine (Baltimore); 2023 Jun; 102(23):e33912. PubMed ID: 37335656
[TBL] [Abstract][Full Text] [Related]
36. Key signaling pathways, genes and transcription factors associated with hepatocellular carcinoma.
Wang J; Tian Y; Chen H; Li H; Zheng S
Mol Med Rep; 2018 Jun; 17(6):8153-8160. PubMed ID: 29658607
[TBL] [Abstract][Full Text] [Related]
37. Integrated Analysis of Key Genes and Pathways Involved in Nonalcoholic Steatohepatitis Improvement After Roux-en-Y Gastric Bypass Surgery.
Chen F; Zhou Y; Wu Z; Li Y; Zhou W; Wang Y
Front Endocrinol (Lausanne); 2020; 11():611213. PubMed ID: 33603714
[TBL] [Abstract][Full Text] [Related]
38. Identification of key pathways and genes in Barrett's esophagus using integrated bioinformatics methods.
Zhang C; Shen Y; Wang J; Zhou M; Chen Y
Mol Med Rep; 2018 Feb; 17(2):3069-3077. PubMed ID: 29257318
[TBL] [Abstract][Full Text] [Related]
39. Screening and identification of key biomarkers in hepatocellular carcinoma: Evidence from bioinformatic analysis.
Li L; Lei Q; Zhang S; Kong L; Qin B
Oncol Rep; 2017 Nov; 38(5):2607-2618. PubMed ID: 28901457
[TBL] [Abstract][Full Text] [Related]
40. Analysis of the protein-protein interaction networks of differentially expressed genes in pulmonary embolism.
Wang H; Wang C; Zhang L; Lu Y; Duan Q; Gong Z; Liang A; Song H; Wang L
Mol Med Rep; 2015 Apr; 11(4):2527-33. PubMed ID: 25434468
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]