287 related articles for article (PubMed ID: 32034170)
1. Integrative Network Analysis of Differentially Methylated and Expressed Genes for Biomarker Identification in Leukemia.
Sanchez R; Mackenzie SA
Sci Rep; 2020 Feb; 10(1):2123. PubMed ID: 32034170
[TBL] [Abstract][Full Text] [Related]
2. Identification of candidate aberrantly methylated and differentially expressed genes in Esophageal squamous cell carcinoma.
Han BA; Yang XP; Hosseini DK; Zhang P; Zhang Y; Yu JT; Chen S; Zhang F; Zhou T; Sun HY
Sci Rep; 2020 Jun; 10(1):9735. PubMed ID: 32546690
[TBL] [Abstract][Full Text] [Related]
3. Integrated analysis of DNA methylation and transcriptome profiling of polycystic ovary syndrome.
Liu L; He D; Wang Y; Sheng M
Mol Med Rep; 2020 May; 21(5):2138-2150. PubMed ID: 32323770
[TBL] [Abstract][Full Text] [Related]
4. DNA methylation biomarkers for nasopharyngeal carcinoma.
Han B; Yang X; Zhang P; Zhang Y; Tu Y; He Z; Li Y; Yuan J; Dong Y; Hosseini DK; Zhou T; Sun H
PLoS One; 2020; 15(4):e0230524. PubMed ID: 32271791
[TBL] [Abstract][Full Text] [Related]
5. Bioinformatics-Based Identification of Methylated-Differentially Expressed Genes and Related Pathways in Gastric Cancer.
Li H; Liu JW; Liu S; Yuan Y; Sun LP
Dig Dis Sci; 2017 Nov; 62(11):3029-3039. PubMed ID: 28914394
[TBL] [Abstract][Full Text] [Related]
6. Comprehensive bioinformation analysis of methylated and differentially expressed genes in esophageal squamous cell carcinoma.
Peng H; Wang S; Pang L; Yang L; Chen Y; Cui XB
Mol Omics; 2019 Feb; 15(1):88-100. PubMed ID: 30706927
[TBL] [Abstract][Full Text] [Related]
7. Identification of aberrantly methylated differentially expressed genes in breast cancer by integrated bioinformatics analysis.
Yi L; Luo P; Zhang J
J Cell Biochem; 2019 Sep; 120(9):16229-16243. PubMed ID: 31081184
[TBL] [Abstract][Full Text] [Related]
8. Identification of candidate aberrantly methylated and differentially expressed genes in thyroid cancer.
Tu Y; Fan G; Xi H; Zeng T; Sun H; Cai X; Kong W
J Cell Biochem; 2018 Nov; 119(11):8797-8806. PubMed ID: 30069928
[TBL] [Abstract][Full Text] [Related]
9. Identification of differentially expressed and methylated genes associated with rheumatoid arthritis based on network.
Zhang D; Li Z; Zhang R; Yang X; Zhang D; Li Q; Wang C; Yang X; Xiong Y
Autoimmunity; 2020 Sep; 53(6):303-313. PubMed ID: 32650679
[TBL] [Abstract][Full Text] [Related]
10. Derivation and Validation of the Potential Core Genes in Pancreatic Cancer for Tumor-Stroma Crosstalk.
Xue R; Hua L; Xu W; Gao Y; Pang Y; Hao J
Biomed Res Int; 2018; 2018():4283673. PubMed ID: 30519576
[TBL] [Abstract][Full Text] [Related]
11. Identification of key genes and pathways of thyroid cancer by integrated bioinformatics analysis.
Liu L; He C; Zhou Q; Wang G; Lv Z; Liu J
J Cell Physiol; 2019 Dec; 234(12):23647-23657. PubMed ID: 31169306
[TBL] [Abstract][Full Text] [Related]
12. Identification of Differentially Expressed Genes (DEGs) Relevant to Prognosis of Ovarian Cancer by Use of Integrated Bioinformatics Analysis and Validation by Immunohistochemistry Assay.
Zhang L; Sun L; Zhang B; Chen L
Med Sci Monit; 2019 Dec; 25():9902-9912. PubMed ID: 31871312
[TBL] [Abstract][Full Text] [Related]
13. Identification of potential DNA methylation biomarkers related to diagnosis in patients with bladder cancer through integrated bioinformatic analysis.
Cheng H; Liu Y; Chen G
BMC Urol; 2023 Aug; 23(1):135. PubMed ID: 37563710
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Identification of hub-methylated differentially expressed genes in patients with gestational diabetes mellitus by multi-omic WGCNA basing epigenome-wide and transcriptome-wide profiling.
Chen M; Yan J; Han Q; Luo J; Zhang Q
J Cell Biochem; 2020 Jun; 121(5-6):3173-3184. PubMed ID: 31886571
[TBL] [Abstract][Full Text] [Related]
16. Identification of novel genes associated with a poor prognosis in pancreatic ductal adenocarcinoma via a bioinformatics analysis.
Zhou J; Hui X; Mao Y; Fan L
Biosci Rep; 2019 Aug; 39(8):. PubMed ID: 31311829
[TBL] [Abstract][Full Text] [Related]
17. Genome-wide expression and methylation profiles reveal candidate genes and biological processes underlying synovial inflammatory tissue of patients with osteoarthritis.
Yang J; Wang N
Int J Rheum Dis; 2015 Sep; 18(7):783-90. PubMed ID: 26171692
[TBL] [Abstract][Full Text] [Related]
18. Identification of crucial aberrantly methylated and differentially expressed genes related to cervical cancer using an integrated bioinformatics analysis.
Ma X; Liu J; Wang H; Jiang Y; Wan Y; Xia Y; Cheng W
Biosci Rep; 2020 May; 40(5):. PubMed ID: 32368784
[TBL] [Abstract][Full Text] [Related]
19. In Silico Integration Approach Reveals Key MicroRNAs and Their Target Genes in Follicular Thyroid Carcinoma.
Hu S; Liao Y; Zheng J; Gou L; Regmi A; Zafar MI; Chen L
Biomed Res Int; 2019; 2019():2725192. PubMed ID: 31032340
[TBL] [Abstract][Full Text] [Related]
20. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer.
Yang C; Gong A
Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215
[No Abstract] [Full Text] [Related]
[Next] [New Search]
