181 related articles for article (PubMed ID: 32209064)
1. Integrated bioinformatics analysis of aberrantly-methylated differentially-expressed genes and pathways in age-related macular degeneration.
Shen Y; Li M; Liu K; Xu X; Zhu S; Wang N; Guo W; Zhao Q; Lu P; Yu F; Xu X
BMC Ophthalmol; 2020 Mar; 20(1):119. PubMed ID: 32209064
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Identification of aberrantly methylated differentially expressed genes in age-related macular degeneration.
Xu Z; Ruan Z; Huang X; Liu Q; Li Z; Zhou X; Zhang X; Shang L
Medicine (Baltimore); 2019 Apr; 98(14):e15083. PubMed ID: 30946360
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. 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]
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 key DNA methylation-driven genes in prostate adenocarcinoma: an integrative analysis of TCGA methylation data.
Xu N; Wu YP; Ke ZB; Liang YC; Cai H; Su WT; Tao X; Chen SH; Zheng QS; Wei Y; Xue XY
J Transl Med; 2019 Sep; 17(1):311. PubMed ID: 31533842
[TBL] [Abstract][Full Text] [Related]
10. DNA methylation-based diagnostic and prognostic biomarkers of nasopharyngeal carcinoma patients.
Wu ZH; Zhou T; Sun HY
Medicine (Baltimore); 2020 Jun; 99(24):e20682. PubMed ID: 32541515
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Comprehensive analyses of DNA methylation and gene expression profiles of Kawasaki disease.
Chang D; Qian C; Li H; Feng H
J Cell Biochem; 2019 Aug; 120(8):13001-13011. PubMed ID: 30861201
[TBL] [Abstract][Full Text] [Related]
13. Aberrantly methylated-differentially expressed genes and pathways in Epstein-Barr virus-associated gastric cancer.
Jing JJ; Li H; Wang ZY; Zhou H; Sun LP; Yuan Y
Future Oncol; 2020 Feb; 16(6):187-197. PubMed ID: 31989840
[No Abstract] [Full Text] [Related]
14. Identification of Core Genes and Key Pathways via Integrated Analysis of Gene Expression and DNA Methylation Profiles in Bladder Cancer.
Zhang Y; Fang L; Zang Y; Xu Z
Med Sci Monit; 2018 May; 24():3024-3033. PubMed ID: 29739919
[TBL] [Abstract][Full Text] [Related]
15. Identification of aberrantly methylated differentially expressed genes in prostate carcinoma using integrated bioinformatics.
Wu K; Yin X; Jin Y; Liu F; Gao J
Cancer Cell Int; 2019; 19():51. PubMed ID: 30872976
[TBL] [Abstract][Full Text] [Related]
16. DNA methylation-based diagnostic and prognostic biomarkers of nonsmoking lung adenocarcinoma patients.
Zhang X; Gao C; Liu L; Zhou C; Liu C; Li J; Zhuang J; Sun C
J Cell Biochem; 2019 Aug; 120(8):13520-13530. PubMed ID: 30920015
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Bioinformatics Analysis of Differentially Expressed Genes, Methylated Genes, and miRNAs in Unexplained Recurrent Spontaneous Abortion.
Chen H; Cheng S; Liu C; Fu J; Huang W
J Comput Biol; 2019 Dec; 26(12):1418-1426. PubMed ID: 31305134
[TBL] [Abstract][Full Text] [Related]
19. Identification of Key Biomarkers and Potential Molecular Mechanisms in Renal Cell Carcinoma by Bioinformatics Analysis.
Li F; Guo P; Dong K; Guo P; Wang H; Lv X
J Comput Biol; 2019 Nov; 26(11):1278-1295. PubMed ID: 31233342
[No Abstract] [Full Text] [Related]
20. 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]
[Next] [New Search]
