157 related articles for article (PubMed ID: 32233538)
41. Investigation of the Underlying Genes and Mechanism of Macrophage-Enriched Ruptured Atherosclerotic Plaques Using Bioinformatics Method.
Wang H; Liu D; Zhang H
J Atheroscler Thromb; 2019 Jul; 26(7):636-658. PubMed ID: 30643084
[TBL] [Abstract][Full Text] [Related]
42. Identification of six candidate genes for endometrial carcinoma by bioinformatics analysis.
Zhu Y; Shi L; Chen P; Zhang Y; Zhu T
World J Surg Oncol; 2020 Jul; 18(1):161. PubMed ID: 32641130
[TBL] [Abstract][Full Text] [Related]
43. Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gastric cancer.
Wu Q; Zhang B; Wang Z; Hu X; Sun Y; Xu R; Chen X; Wang Q; Ju F; Ren S; Zhang C; Qi F; Ma Q; Xue Q; Zhou YL
Pathol Res Pract; 2019 May; 215(5):1038-1048. PubMed ID: 30975489
[TBL] [Abstract][Full Text] [Related]
44. Identification of Potential Biomarkers Associated with Prognosis in Gastric Cancer via Bioinformatics Analysis.
Li D; Yin Y; He M; Wang J
Med Sci Monit; 2021 Feb; 27():e929104. PubMed ID: 33582701
[TBL] [Abstract][Full Text] [Related]
45. Identification of Key Genes and Pathways in Tongue Squamous Cell Carcinoma Using Bioinformatics Analysis.
Zhang H; Liu J; Fu X; Yang A
Med Sci Monit; 2017 Dec; 23():5924-5932. PubMed ID: 29240723
[TBL] [Abstract][Full Text] [Related]
46. Identification of hub genes in peripheral blood mononuclear cells for the diagnosis of hepatocellular carcinoma using a weighted gene co-expression network analysis.
Ye Z; Zeng Z; Shen Y; Chen Z
Exp Ther Med; 2020 Aug; 20(2):890-900. PubMed ID: 32742331
[TBL] [Abstract][Full Text] [Related]
47. Analysis of genes associated with prognosis of lung adenocarcinoma based on GEO and TCGA databases.
Yu Y; Tian X
Medicine (Baltimore); 2020 May; 99(19):e20183. PubMed ID: 32384511
[TBL] [Abstract][Full Text] [Related]
48. Sex Difference of Ribosome in Stroke-Induced Peripheral Immunosuppression by Integrated Bioinformatics Analysis.
Xie JQ; Lu YP; Sun HL; Gao LN; Song PP; Feng ZJ; You CG
Biomed Res Int; 2020; 2020():3650935. PubMed ID: 33354565
[TBL] [Abstract][Full Text] [Related]
49. Transcriptome Analysis of Porcine PBMCs Reveals the Immune Cascade Response and Gene Ontology Terms Related to Cell Death and Fibrosis in the Progression of Liver Failure.
Zhang Y; Shao L; Zhou N; Li J; Chen Y; Lu J; Wang J; Chen E; Xie Z; Li L
Can J Gastroenterol Hepatol; 2018; 2018():2101906. PubMed ID: 29850453
[TBL] [Abstract][Full Text] [Related]
50. Insights into significant pathways and gene interaction networks in peripheral blood mononuclear cells for early diagnosis of hepatocellular carcinoma.
Jiang JX; Yu C; Li ZP; Xiao J; Zhang H; Chen MY; Sun CY
J Cancer Res Ther; 2016; 12(2):981-9. PubMed ID: 27461685
[TBL] [Abstract][Full Text] [Related]
51. Identification of hub genes and pathways in adrenocortical carcinoma by integrated bioinformatic analysis.
Guo J; Gu Y; Ma X; Zhang L; Li H; Yan Z; Han Y; Xie L; Guo X
J Cell Mol Med; 2020 Apr; 24(8):4428-4438. PubMed ID: 32147961
[TBL] [Abstract][Full Text] [Related]
52. Transcriptional analysis of human peripheral blood mononuclear cells stimulated by
Wei J; Guo F; Song Y; Xu K; Lin F; Li K; Li B; Qian Z; Wang X; Wang H; Xu T
Front Cell Infect Microbiol; 2023; 13():1255905. PubMed ID: 37818041
[TBL] [Abstract][Full Text] [Related]
53. Identification of hub genes in chronically hypoxic myocardium using bioinformatics analysis.
Wu F; Gao F; He S; Xiao Y
Mol Med Rep; 2019 May; 19(5):3871-3881. PubMed ID: 30864710
[TBL] [Abstract][Full Text] [Related]
54. Bioinformatics analysis of sex differences in arrhythmogenic right ventricular cardiomyopathy.
Chen LT; Jiang CY
Mol Med Rep; 2019 Mar; 19(3):2238-2244. PubMed ID: 30664203
[TBL] [Abstract][Full Text] [Related]
55. Identification of core genes and potential molecular mechanisms in breast cancer using bioinformatics analysis.
Liu F; Wu Y; Mi Y; Gu L; Sang M; Geng C
Pathol Res Pract; 2019 Jul; 215(7):152436. PubMed ID: 31076281
[TBL] [Abstract][Full Text] [Related]
56. Potential biomarkers and latent pathways for vasculitis based on latent pathway identification analysis.
Zhou T; Zhang Y; Wu P; Sun Q; Guo Y; Yang Y
Int J Rheum Dis; 2014 Jul; 17(6):671-8. PubMed ID: 24867262
[TBL] [Abstract][Full Text] [Related]
57. Identification of key pathways and genes changes in pancreatic cancer cells (BXPC-3) after cross-talk with primary pancreatic stellate cells using bioinformatics analysis.
Tang D; Wu Q; Yuan Z; Xu J; Zhang H; Jin Z; Zhang Q; Xu M; Wang Z; Dai Z; Fang H; Li Z; Lin C; Shi C; Xu M; Sun X; Wang D
Neoplasma; 2019 Sep; 66(5):681-693. PubMed ID: 31169017
[TBL] [Abstract][Full Text] [Related]
58. Identifying hepatocellular carcinoma-related hub genes by bioinformatics analysis and CYP2C8 is a potential prognostic biomarker.
Li C; Zhou D; Jiang X; Liu M; Tang H; Mei Z
Gene; 2019 May; 698():9-18. PubMed ID: 30825595
[TBL] [Abstract][Full Text] [Related]
59. Screening key genes and signaling pathways in colorectal cancer by integrated bioinformatics analysis.
Yu C; Chen F; Jiang J; Zhang H; Zhou M
Mol Med Rep; 2019 Aug; 20(2):1259-1269. PubMed ID: 31173250
[TBL] [Abstract][Full Text] [Related]
60. Microarray analysis of the expression profile of immune-related gene in rapid recurrence early-stage lung adenocarcinoma.
Liu J; Yang X; Zhang L; Yang B; Rao W; Li M; Dai N; Yang Y; Qian C; Zhang L; Xiao H; Wang D
J Cancer Res Clin Oncol; 2020 Sep; 146(9):2299-2310. PubMed ID: 32556504
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
