158 related articles for article (PubMed ID: 34284443)
1. Weighted gene co-expression network analysis identifies specific modules and hub genes related to Parkinson's disease.
Yang M; Wu XQ; Ding CB; Zhang GF; Li M; Lv LN; Li YH; Sun DW; Zhao JJ
Neuroreport; 2021 Sep; 32(13):1073-1081. PubMed ID: 34284443
[TBL] [Abstract][Full Text] [Related]
2. Weighted gene co-expression network analysis reveals specific modules and biomarkers in Parkinson's disease.
Jin X; Li J; Li W; Wang X; Du C; Geng Z; Geng Y; Kang L; Zhang X; Wang M; Tian S
Neurosci Lett; 2020 May; 728():134950. PubMed ID: 32276105
[TBL] [Abstract][Full Text] [Related]
3. Screening of key immune
Huang Y; Wang A; Wang F; Xu Y; Zhang W; Shi F; Wang S
Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2024 Feb; 49(2):207-219. PubMed ID: 38755717
[TBL] [Abstract][Full Text] [Related]
4. Identifying the hub gene and immune infiltration of Parkinson's disease using bioinformatical methods.
Liu SH; Wang YL; Jiang SM; Wan XJ; Yan JH; Liu CF
Brain Res; 2022 Jun; 1785():147879. PubMed ID: 35278479
[TBL] [Abstract][Full Text] [Related]
5. Gene expression profiling predicts pathways and genes associated with Parkinson's disease.
Liu S; Zhang Y; Bian H; Li X
Neurol Sci; 2016 Jan; 37(1):73-79. PubMed ID: 26269422
[TBL] [Abstract][Full Text] [Related]
6. Identification of cuproptosis-realated key genes and pathways in Parkinson's disease via bioinformatics analysis.
Song J; Li J; Pei X; Chen J; Wang L
PLoS One; 2024; 19(4):e0299898. PubMed ID: 38626069
[TBL] [Abstract][Full Text] [Related]
7. Identification of Key Genes and Immunological Features Associated with Copper Metabolism in Parkinson's Disease by Bioinformatics Analysis.
Zhang H; Nagai J; Hao L; Jiang X
Mol Neurobiol; 2024 Feb; 61(2):799-811. PubMed ID: 37659036
[TBL] [Abstract][Full Text] [Related]
8. Identification of Hub Gene GRIN1 Correlated with Histological Grade and Prognosis of Glioma by Weighted Gene Coexpression Network Analysis.
Yang A; Wang X; Hu Y; Shang C; Hong Y
Biomed Res Int; 2021; 2021():4542995. PubMed ID: 34840971
[TBL] [Abstract][Full Text] [Related]
9. Integrative analysis of potential biomarkers and immune cell infiltration in Parkinson's disease.
Chen X; Cao W; Zhuang Y; Chen S; Li X
Brain Res Bull; 2021 Dec; 177():53-63. PubMed ID: 34536521
[TBL] [Abstract][Full Text] [Related]
10. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
[TBL] [Abstract][Full Text] [Related]
11. Weighted gene co-expression network analysis identifies RHOH and TRAF1 as key candidate genes for psoriatic arthritis.
He J; Tang J; Feng Q; Li T; Wu K; Yang K; Jia D; Xia Q
Clin Rheumatol; 2021 Apr; 40(4):1381-1391. PubMed ID: 32959187
[TBL] [Abstract][Full Text] [Related]
12. Identification of vital modules and genes associated with heart failure based on weighted gene coexpression network analysis.
Bian W; Wang Z; Li X; Jiang XX; Zhang H; Liu Z; Zhang DM
ESC Heart Fail; 2022 Apr; 9(2):1370-1379. PubMed ID: 35128826
[TBL] [Abstract][Full Text] [Related]
13. Six potential biomarkers in septic shock: a deep bioinformatics and prospective observational study.
Kong C; Zhu Y; Xie X; Wu J; Qian M
Front Immunol; 2023; 14():1184700. PubMed ID: 37359526
[TBL] [Abstract][Full Text] [Related]
14. Identification of the pivotal role of SPP1 in kidney stone disease based on multiple bioinformatics analysis.
Hong SY; Xia QD; Xu JZ; Liu CQ; Sun JX; Xun Y; Wang SG
BMC Med Genomics; 2022 Jan; 15(1):7. PubMed ID: 35016690
[TBL] [Abstract][Full Text] [Related]
15. The identification and verification of hub genes associated with pulmonary arterial hypertension using weighted gene co-expression network analysis.
Wu W; Chen A; Lin S; Wang Q; Lian G; Luo L; Xie L
BMC Pulm Med; 2022 Dec; 22(1):474. PubMed ID: 36514015
[TBL] [Abstract][Full Text] [Related]
16. Identification and Experimental Validation of Parkinson's Disease with Major Depressive Disorder Common Genes.
Wang H; Dou S; Wang C; Gao W; Cheng B; Yan F
Mol Neurobiol; 2023 Oct; 60(10):6092-6108. PubMed ID: 37418066
[TBL] [Abstract][Full Text] [Related]
17. Weighted gene co-expression network analysis revealed key biomarkers associated with the diagnosis of hypertrophic cardiomyopathy.
Li X; Wang C; Zhang X; Liu J; Wang Y; Li C; Guo D
Hereditas; 2020 Oct; 157(1):42. PubMed ID: 33099311
[TBL] [Abstract][Full Text] [Related]
18. Identifying Obstructive Sleep Apnea Syndrome-Associated Genes and Pathways through Weighted Gene Coexpression Network Analysis.
Li Y; Li L; Zhao H; Gao X; Li S
Comput Math Methods Med; 2022; 2022():3993509. PubMed ID: 35132330
[TBL] [Abstract][Full Text] [Related]
19. Application of Weighted Gene Coexpression Network Analysis to Identify Key Modules and Hub Genes in Systemic Juvenile Idiopathic Arthritis.
Zhou M; Guo R; Wang YF; Yang W; Li R; Lu L
Biomed Res Int; 2021; 2021():9957569. PubMed ID: 34435051
[TBL] [Abstract][Full Text] [Related]
20. Comprehensive analysis of biomarkers for prostate cancer based on weighted gene co-expression network analysis.
Chen X; Wang J; Peng X; Liu K; Zhang C; Zeng X; Lai Y
Medicine (Baltimore); 2020 Apr; 99(14):e19628. PubMed ID: 32243390
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
