197 related articles for article (PubMed ID: 31822145)
1. Identification of differentially expressed genes between the colon and ileum of patients with inflammatory bowel disease by gene co-expression analysis.
Zhang Y; Shen B; Zhuge L; Xie Y
J Int Med Res; 2020 May; 48(5):300060519887268. PubMed ID: 31822145
[TBL] [Abstract][Full Text] [Related]
2. Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments.
Zhang T; Guo J; Gu J; Wang Z; Wang G; Li H; Wang J
Oncol Rep; 2019 Jan; 41(1):279-291. PubMed ID: 30542696
[TBL] [Abstract][Full Text] [Related]
3. Microarray gene expression profiling and bioinformatics analysis reveal key differentially expressed genes in clival and sacral chordoma cell lines.
Li G; Cai L; Zhou L
Neurol Res; 2019 Jun; 41(6):554-561. PubMed ID: 30821656
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Identification of Hub Genes and Pathways in Zika Virus Infection Using RNA-Seq Data: A Network-Based Computational Approach.
Brahma R; Gurumayum S; Naorem LD; Muthaiyan M; Gopal J; Venkatesan A
Viral Immunol; 2018 May; 31(4):321-332. PubMed ID: 29608426
[TBL] [Abstract][Full Text] [Related]
6. Identification of Potential Therapeutic Targets of Alzheimer's Disease By Weighted Gene Co-Expression Network Analysis.
Zhang F; Zhong SR; Yang SM; Wei YT; Wang JJ; Huang JL; Wu DP; Zhong ZG
Chin Med Sci J; 2020 Dec; 35(4):330-341. PubMed ID: 33413749
[TBL] [Abstract][Full Text] [Related]
7. Critical genes of hepatocellular carcinoma revealed by network and module analysis of RNA-seq data.
Yang MR; Zhang Y; Wu XX; Chen W
Eur Rev Med Pharmacol Sci; 2016 Oct; 20(20):4248-4256. PubMed ID: 27831650
[TBL] [Abstract][Full Text] [Related]
8. Weighted gene co-expression network analysis to define pivotal modules and genes in diabetic heart failure.
Liang W; Sun F
Biosci Rep; 2020 Jul; 40(7):. PubMed ID: 32602534
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Identification of crucial genes of pediatric inflammatory bowel disease in remission by protein-protein interaction network and module analyses.
Liu D; Sun H; Li W; Zhu Y; Li J; Jin S
Minerva Pediatr (Torino); 2023 Jun; 75(3):331-338. PubMed ID: 29381010
[TBL] [Abstract][Full Text] [Related]
11. Crucial Gene Identification in Carotid Atherosclerosis Based on Peripheral Blood Mononuclear Cell (PBMC) Data by Weighted (Gene) Correlation Network Analysis (WGCNA).
Chen S; Yang D; Liu Z; Li F; Liu B; Chen Y; Ye W; Zheng Y
Med Sci Monit; 2020 Mar; 26():e921692. PubMed ID: 32160184
[TBL] [Abstract][Full Text] [Related]
12. Identification of hub genes and construction of transcriptional regulatory network for the progression of colon adenocarcinoma hub genes and TF regulatory network of colon adenocarcinoma.
Wei S; Chen J; Huang Y; Sun Q; Wang H; Liang X; Hu Z; Li X
J Cell Physiol; 2020 Mar; 235(3):2037-2048. PubMed ID: 31612481
[TBL] [Abstract][Full Text] [Related]
13. An integrative network-based approach to identify novel disease genes and pathways: a case study in the context of inflammatory bowel disease.
Eguchi R; Karim MB; Hu P; Sato T; Ono N; Kanaya S; Altaf-Ul-Amin M
BMC Bioinformatics; 2018 Jul; 19(1):264. PubMed ID: 30005591
[TBL] [Abstract][Full Text] [Related]
14. Bioinformatics Analysis Identifies Hub Genes and Molecular Pathways Involved in Sepsis-Induced Myopathy.
Ning YL; Yang ZQ; Xian SX; Lin JZ; Lin XF; Chen WT
Med Sci Monit; 2020 Feb; 26():e919665. PubMed ID: 32008037
[TBL] [Abstract][Full Text] [Related]
15. Identification of candidate genes for necrotizing enterocolitis based on microarray data.
Chen G; Li Y; Su Y; Zhou L; Zhang H; Shen Q; Du C; Li H; Wen Z; Xia Y; Tang W
Gene; 2018 Jun; 661():152-159. PubMed ID: 29605607
[TBL] [Abstract][Full Text] [Related]
16. Identification of differentially expressed genes, associated functional terms pathways, and candidate diagnostic biomarkers in inflammatory bowel diseases by bioinformatics analysis.
Cheng C; Hua J; Tan J; Qian W; Zhang L; Hou X
Exp Ther Med; 2019 Jul; 18(1):278-288. PubMed ID: 31258663
[TBL] [Abstract][Full Text] [Related]
17. Bioinformatic analysis of potential candidates for therapy of inflammatory bowel disease.
Li XL; Zhou CY; Sun Y; Su ZY; Wang X; N Jia E; Zhang Q; Jiang XF; Qi WQ; Xu Y
Eur Rev Med Pharmacol Sci; 2015 Nov; 19(22):4275-84. PubMed ID: 26636514
[TBL] [Abstract][Full Text] [Related]
18. Bioinformatics analysis of aberrantly methylated-differentially expressed genes and pathways in hepatocellular carcinoma.
Sang L; Wang XM; Xu DY; Zhao WJ
World J Gastroenterol; 2018 Jun; 24(24):2605-2616. PubMed ID: 29962817
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Identification of key genes and pathways in pelvic organ prolapse based on gene expression profiling by bioinformatics analysis.
Zhou Q; Hong L; Wang J
Arch Gynecol Obstet; 2018 May; 297(5):1323-1332. PubMed ID: 29546564
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
