198 related articles for article (PubMed ID: 32282748)
1. Bioinformatic identification of hub genes and key pathways in neutrophils of patients with acute respiratory distress syndrome.
Hu L; Zhao T; Sun Y; Chen Y; Bai K; Xu F
Medicine (Baltimore); 2020 Apr; 99(15):e19820. PubMed ID: 32282748
[TBL] [Abstract][Full Text] [Related]
2. Identification of potential biomarkers and therapeutic targets for posttraumatic acute respiratory distress syndrome.
Qi P; Huang M; Li T
BMC Med Genomics; 2023 Mar; 16(1):54. PubMed ID: 36918848
[TBL] [Abstract][Full Text] [Related]
3. Identification of significant alteration genes, pathways and TFs induced by LPS in ARDS via bioinformatical analysis.
Lu W; Ji R
BMC Infect Dis; 2021 Aug; 21(1):852. PubMed ID: 34418997
[TBL] [Abstract][Full Text] [Related]
4. Bioinformatics analysis of the potential biomarkers for acute respiratory distress syndrome.
Liao L; Liao P
Biosci Rep; 2020 Sep; 40(9):. PubMed ID: 32856055
[TBL] [Abstract][Full Text] [Related]
5. Identification of Key Pathways and Genes of Acute Respiratory Distress Syndrome Specific Neutrophil Phenotype.
Wang D; Li Y; Gu C; Liu M; Wang Y
Biomed Res Int; 2019; 2019():9528584. PubMed ID: 31531373
[TBL] [Abstract][Full Text] [Related]
6. Identification of Hub Genes and Key Pathways Associated with Peripheral T-cell Lymphoma.
Gao HX; Wang MB; Li SJ; Niu J; Xue J; Li J; Li XX
Curr Med Sci; 2020 Oct; 40(5):885-899. PubMed ID: 32980897
[TBL] [Abstract][Full Text] [Related]
7. Bioinformatics Analysis of Key Genes and Pathways Associated with Thrombosis in Essential Thrombocythemia.
Guo C; Li Z
Med Sci Monit; 2019 Dec; 25():9262-9271. PubMed ID: 31801935
[TBL] [Abstract][Full Text] [Related]
8. Comprehensive Analysis of Candidate Diagnostic and Prognostic Biomarkers Associated with Lung Adenocarcinoma.
Li J; Liu X; Cui Z; Han G
Med Sci Monit; 2020 Jun; 26():e922070. PubMed ID: 32578582
[TBL] [Abstract][Full Text] [Related]
9. Identification and validation of autophagy-related genes in exogenous sepsis-induced acute respiratory distress syndrome.
Xie Y; Hu W; Chen X; Ren P; Ye C; Wang Y; Luo J; Li X
Immun Inflamm Dis; 2022 Oct; 10(10):e691. PubMed ID: 36169246
[TBL] [Abstract][Full Text] [Related]
10. Integrated miRNA-mRNA network revealing the key molecular characteristics of ossification of the posterior longitudinal ligament.
Xu G; Liu C; Liang T; Qin Z; Yu CJ; Zhang Z; Jiang J; Chen J; Zhan X
Medicine (Baltimore); 2020 May; 99(21):e20268. PubMed ID: 32481304
[TBL] [Abstract][Full Text] [Related]
11. Renal tubular gen e biomarkers identification based on immune infiltrates in focal segmental glomerulosclerosis.
Bai J; Pu X; Zhang Y; Dai E
Ren Fail; 2022 Dec; 44(1):966-986. PubMed ID: 35713363
[TBL] [Abstract][Full Text] [Related]
12. Identification of Gene Changes Induced by Dexamethasone in the Anterior Segment of the Human Eye Using Bioinformatics Analysis.
Zhang Y; Yang A; Huang J
Med Sci Monit; 2019 Jul; 25():5501-5509. PubMed ID: 31339875
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Common gene signatures and key pathways in hypopharyngeal and esophageal squamous cell carcinoma: Evidence from bioinformatic analysis.
Zhou R; Liu D; Zhu J; Zhang T
Medicine (Baltimore); 2020 Oct; 99(42):e22434. PubMed ID: 33080677
[TBL] [Abstract][Full Text] [Related]
15. Screening of potential biomarkers for distinguishing between latent and active tuberculosis in children using bioinformatics analysis.
Shao M; Wu F; Zhang J; Dong J; Zhang H; Liu X; Liang S; Wu J; Zhang L; Zhang C; Zhang W
Medicine (Baltimore); 2021 Feb; 100(5):e23207. PubMed ID: 33592820
[TBL] [Abstract][Full Text] [Related]
16. Identification of hub genes and regulators associated with pancreatic ductal adenocarcinoma based on integrated gene expression profile analysis.
Shang M; Zhang L; Chen X; Zheng S
Discov Med; 2019 Sep; 28(153):159-172. PubMed ID: 31926587
[TBL] [Abstract][Full Text] [Related]
17. Mining the proliferative diabetic retinopathy-associated genes and pathways by integrated bioinformatic analysis.
Sun H; Cheng Y; Yan Z; Liu X; Zhang J
Int Ophthalmol; 2020 Feb; 40(2):269-279. PubMed ID: 31953631
[TBL] [Abstract][Full Text] [Related]
18. Identification of invasion-metastasis-associated microRNAs in hepatocellular carcinoma based on bioinformatic analysis and experimental validation.
Lou W; Chen J; Ding B; Chen D; Zheng H; Jiang D; Xu L; Bao C; Cao G; Fan W
J Transl Med; 2018 Sep; 16(1):266. PubMed ID: 30268144
[TBL] [Abstract][Full Text] [Related]
19. [Identification of differentially expressed genes and pathways changing in neutrophils of patients with sepsis by bioinformatics analysis].
He C; Zhang Y; Duan Y; Yu J; Luo B; Jiang N; Liang Y; Zeng J; Zheng X; Xian Y
Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi; 2019 Jun; 35(6):481-490. PubMed ID: 31292051
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]