324 related articles for article (PubMed ID: 32200436)
1. Identification of pancreatic cancer type related factors by Weighted Gene Co-Expression Network Analysis.
Wang W; Xing H; Huang C; Pan H; Li D
Med Oncol; 2020 Mar; 37(4):33. PubMed ID: 32200436
[TBL] [Abstract][Full Text] [Related]
2. Comprehensive multi-factor analysis and exploration for the pathogenesis of non-ischemic cardiomyopathy and ischemic cardiomyopathy.
Li F; Cheng L; Ma L
Cell Mol Biol (Noisy-le-grand); 2020 Jul; 66(5):66-72. PubMed ID: 33040816
[TBL] [Abstract][Full Text] [Related]
3. SMARCA4 promotes benign skin malignant transformation into melanoma through Adherens junction signal transduction.
Liu SR; Yang X; Qi L; Zhu Z; Ji YZ
Clin Transl Oncol; 2021 Mar; 23(3):591-600. PubMed ID: 32720055
[TBL] [Abstract][Full Text] [Related]
4. Exploring the association mechanism between metastatic osteosarcoma and non-metastatic osteosarcoma based on dysfunctionality module.
Xiong J; Li T
J BUON; 2020; 25(3):1569-1578. PubMed ID: 32862606
[TBL] [Abstract][Full Text] [Related]
5. Identification of a 5‑microRNA signature and hub miRNA‑mRNA interactions associated with pancreatic cancer.
Ma X; Tao R; Li L; Chen H; Liu Z; Bai J; Shuai X; Wu C; Tao K
Oncol Rep; 2019 Jan; 41(1):292-300. PubMed ID: 30365134
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Weighted gene co-expression network analysis identifies specific modules and hub genes related to coronary artery disease.
Liu J; Jing L; Tu X
BMC Cardiovasc Disord; 2016 Mar; 16():54. PubMed ID: 26944061
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Identification of Key Modules, Hub Genes, and Noncoding RNAs in Chronic Rhinosinusitis with Nasal Polyps by Weighted Gene Coexpression Network Analysis.
Zhou X; Zhen X; Liu Y; Cui Z; Yue Z; Xu A; Han J
Biomed Res Int; 2020; 2020():6140728. PubMed ID: 32047813
[TBL] [Abstract][Full Text] [Related]
10. Human microRNA-4433 (hsa-miR-4443) Targets 18 Genes to be a Risk Factor of Neurodegenerative Diseases.
Ge X; Yao T; Zhang C; Wang Q; Wang X; Xu LC
Curr Alzheimer Res; 2022; 19(7):511-522. PubMed ID: 35929619
[TBL] [Abstract][Full Text] [Related]
11. Weighted Gene Co-Expression Network Analysis Reveals Six Hub Genes Involved in and Tight Junction Function in Pancreatic Adenocarcinoma and their Potential Use in Prognosis.
Xia WX; Zhang LH; Liu YW
Genet Test Mol Biomarkers; 2019 Dec; 23(12):829-836. PubMed ID: 31821092
[No Abstract] [Full Text] [Related]
12. Identification of novel candidate biomarkers for pancreatic adenocarcinoma based on TCGA cohort.
Jie Y; Peng W; Li YY
Aging (Albany NY); 2021 Feb; 13(4):5698-5717. PubMed ID: 33591944
[TBL] [Abstract][Full Text] [Related]
13. Bioinformatics analysis of novel transcription factors and related differentially regulated modules in non-union skeletal fractures.
Zhang J
J Back Musculoskelet Rehabil; 2018; 31(4):623-628. PubMed ID: 29578472
[TBL] [Abstract][Full Text] [Related]
14. Screening of Critical Genes and MicroRNAs in Blood Samples of Patients with Ruptured Intracranial Aneurysms by Bioinformatic Analysis of Gene Expression Data.
Bo L; Wei B; Wang Z; Kong D; Gao Z; Miao Z
Med Sci Monit; 2017 Sep; 23():4518-4525. PubMed ID: 28930970
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Identification of Potential Biomarkers Involved in Gastric Cancer Through Integrated Analysis of Non-Coding RNA Associated Competing Endogenous RNAs Network.
Xing C; Cai Z; Gong J; Zhou J; Xu J; Guo F
Clin Lab; 2018 Oct; 64(10):1661-1669. PubMed ID: 30336538
[TBL] [Abstract][Full Text] [Related]
17. Time series expression patterns reveal the molecular processes of pancreatic cancer progression.
Zhong Y; Cheng F; Yang M; Song H; Zhao R
J BUON; 2020; 25(4):1960-1968. PubMed ID: 33099939
[TBL] [Abstract][Full Text] [Related]
18. Co-Expression Network Analysis Identifies miRNA⁻mRNA Networks Potentially Regulating Milk Traits and Blood Metabolites.
Ammah AA; Do DN; Bissonnette N; Gévry N; Ibeagha-Awemu EM
Int J Mol Sci; 2018 Aug; 19(9):. PubMed ID: 30149509
[TBL] [Abstract][Full Text] [Related]
19. Identification of co-expression modules and potential biomarkers of breast cancer by WGCNA.
Jia R; Zhao H; Jia M
Gene; 2020 Aug; 750():144757. PubMed ID: 32387385
[TBL] [Abstract][Full Text] [Related]
20. Identification of key pathways and genes in different types of chronic kidney disease based on WGCNA.
Guo Y; Ma J; Xiao L; Fang J; Li G; Zhang L; Xu L; Lai X; Pan G; Chen Z
Mol Med Rep; 2019 Sep; 20(3):2245-2257. PubMed ID: 31257514
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]