258 related articles for article (PubMed ID: 31460784)
1. Identification of Differentially Expressed Genes Associated with Lymph Node Tuberculosis by the Bioinformatic Analysis Based on a Microarray.
Zhang Z; Liu Y; Wang W; Xing Y; Jiang N; Zhang H; Zhang H; He L; Yue W; Jiang L; Wang K
J Comput Biol; 2020 Jan; 27(1):121-130. PubMed ID: 31460784
[TBL] [Abstract][Full Text] [Related]
2. Identification of Differentially Expressed Genes and miRNAs Associated with Esophageal Squamous Cell Carcinoma by Integrated Analysis of Microarray Data.
Zhang L; Chen J; Cheng T; Yang H; Pan C; Li H
Biomed Res Int; 2020; 2020():1980921. PubMed ID: 32714975
[TBL] [Abstract][Full Text] [Related]
3. Integrated microarray analysis to identify potential biomarkers and therapeutic targets in dilated cardiomyopathy.
Zhang H; Huo J; Jiang W; Shan Q
Mol Med Rep; 2020 Aug; 22(2):915-925. PubMed ID: 32626989
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Identification and Interaction Analysis of Molecular Markers in Colorectal Cancer by Integrated Bioinformatics Analysis.
Han B; Feng D; Yu X; Zhang Y; Liu Y; Zhou L
Med Sci Monit; 2018 Aug; 24():6059-6069. PubMed ID: 30168505
[TBL] [Abstract][Full Text] [Related]
6. Underlying Genes Involved in Atherosclerotic Macrophages: Insights from Microarray Data Mining.
Wang W; Zhang K; Zhang H; Li M; Zhao Y; Wang B; Xin W; Yang W; Zhang J; Yue S; Yang X
Med Sci Monit; 2019 Dec; 25():9949-9962. PubMed ID: 31875420
[TBL] [Abstract][Full Text] [Related]
7. Transcriptome analyses identify key genes and potential mechanisms in a rat model of osteoarthritis.
Li HZ; Lu HD
J Orthop Surg Res; 2018 Dec; 13(1):319. PubMed ID: 30551734
[TBL] [Abstract][Full Text] [Related]
8. Integrative Analyses of Genes Associated with Fulminant Type 1 Diabetes.
Ye X; Zeng T; Kong W; Chen LL
J Immunol Res; 2020; 2020():1025857. PubMed ID: 33083497
[TBL] [Abstract][Full Text] [Related]
9. Identification of pivotal genes and pathways in the synovial tissue of patients with rheumatoid arthritis and osteoarthritis through integrated bioinformatic analysis.
Aihaiti Y; Tuerhong X; Ye JT; Ren XY; Xu P
Mol Med Rep; 2020 Oct; 22(4):3513-3524. PubMed ID: 32945465
[TBL] [Abstract][Full Text] [Related]
10. Bioinformatics analysis of gene expression profile data to screen key genes involved in intracranial aneurysms.
Guo T; Hou D; Yu D
Mol Med Rep; 2019 Nov; 20(5):4415-4424. PubMed ID: 31545495
[TBL] [Abstract][Full Text] [Related]
11. Prognostic values and prospective pathway signaling of MicroRNA-182 in ovarian cancer: a study based on gene expression omnibus (GEO) and bioinformatics analysis.
Li Y; Li L
J Ovarian Res; 2019 Nov; 12(1):106. PubMed ID: 31703725
[TBL] [Abstract][Full Text] [Related]
12. Identification of key candidate genes in neuropathic pain by integrated bioinformatic analysis.
Tang S; Jing H; Huang Z; Huang T; Lin S; Liao M; Zhou J
J Cell Biochem; 2020 Feb; 121(2):1635-1648. PubMed ID: 31535407
[TBL] [Abstract][Full Text] [Related]
13. Related Network and Differential Expression Analyses Identify Nuclear Genes and Pathways in the Hippocampus of Alzheimer Disease.
Quan X; Liang H; Chen Y; Qin Q; Wei Y; Liang Z
Med Sci Monit; 2020 Jan; 26():e919311. PubMed ID: 31989994
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
16. Identification of potential crucial genes associated with early-onset preeclampsia via bioinformatic analysis.
Kang Q; Li W; Xiao J; Yu N; Fan L; Sha M; Ma S; Wu J; Chen S
Pregnancy Hypertens; 2021 Jun; 24():27-36. PubMed ID: 33640831
[TBL] [Abstract][Full Text] [Related]
17. Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.
Vastrad B; Vastrad C; Godavarthi A; Chandrashekar R
Med Oncol; 2017 Sep; 34(11):182. PubMed ID: 28952134
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Identification of Hub Genes in Duchenne Muscular Dystrophy: Evidence from Bioinformatic Analysis.
Zhang R; Lv L; Ban W; Dang X; Zhang C
J Comput Biol; 2020 Jan; 27(1):1-8. PubMed ID: 31390219
[TBL] [Abstract][Full Text] [Related]
20. Gene network in pulmonary tuberculosis based on bioinformatic analysis.
Li L; Lv J; He Y; Wang Z
BMC Infect Dis; 2020 Aug; 20(1):612. PubMed ID: 32811479
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]