344 related articles for article (PubMed ID: 35991567)
1. Identification of aberrantly methylated differentially expressed genes and pro-tumorigenic role of KIF2C in melanoma.
Huang CH; Han W; Wu YZ; Shen GL
Front Genet; 2022; 13():817656. PubMed ID: 35991567
[No Abstract] [Full Text] [Related]
2. Identification of differentially expressed methylated genes in melanoma versus nevi using bioinformatics methods.
He C; Zhang Y; Jiang H; Niu X; Qi R; Gao X
PeerJ; 2020; 8():e9273. PubMed ID: 32547879
[TBL] [Abstract][Full Text] [Related]
3. Comprehensive analysis of DNA methylation and gene expression profiles in cholangiocarcinoma.
Zhang C; Zhang B; Meng D; Ge C
Cancer Cell Int; 2019; 19():352. PubMed ID: 31889904
[TBL] [Abstract][Full Text] [Related]
4. Significant prognostic values of differentially expressed-aberrantly methylated hub genes in breast cancer.
Qi L; Zhou B; Chen J; Hu W; Bai R; Ye C; Weng X; Zheng S
J Cancer; 2019; 10(26):6618-6634. PubMed ID: 31777591
[No Abstract] [Full Text] [Related]
5. In silico analysis of differentially expressed-aberrantly methylated genes in breast cancer for prognostic and therapeutic targets.
Gadwal A; Purohit P; Khokhar M; Vishnoi JR; Pareek P; Choudhary R; Elhence P; Banerjee M; Sharma P
Clin Exp Med; 2023 Nov; 23(7):3847-3866. PubMed ID: 37029310
[TBL] [Abstract][Full Text] [Related]
6. Identification, Validation, and Functional Annotations of Genome-Wide Profile Variation between Melanocytic Nevus and Malignant Melanoma.
Han W; Xu WH; Wang JX; Hou JM; Zhang HL; Zhao XY; Shen GL
Biomed Res Int; 2020; 2020():1840415. PubMed ID: 32934956
[TBL] [Abstract][Full Text] [Related]
7. Comprehensive analysis and identification of key genes and signaling pathways in the occurrence and metastasis of cutaneous melanoma.
Dai H; Guo L; Lin M; Cheng Z; Li J; Tang J; Huan X; Huang Y; Xu K
PeerJ; 2020; 8():e10265. PubMed ID: 33240619
[TBL] [Abstract][Full Text] [Related]
8. Integrated bioinformatics approach reveals methylation-regulated differentially expressed genes in obesity.
Duarte GCK; Pellenz F; Crispim D; Assmann TS
Arch Endocrinol Metab; 2023 May; 67(4):e000604. PubMed ID: 37252693
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Identification of DNA methylation-regulated differentially expressed genes in RA by integrated analysis of DNA methylation and RNA-Seq data.
Zhang R; Chang C; Jin Y; Xu L; Jiang P; Wei K; Xu L; Guo S; Sun S; He D
J Transl Med; 2022 Oct; 20(1):481. PubMed ID: 36273177
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Aspartate beta-hydroxylase domain containing 1 as a prognostic marker associated with immune infiltration in skin cutaneous melanoma.
Sun S; Deng M; Wen J; Chen X; Xu J; Liu Y; Wan H; Wang J; Yan L; He Y; Xu Y
BMC Cancer; 2023 Mar; 23(1):292. PubMed ID: 37004045
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Aberrantly methylated-differentially expressed genes and pathways in colorectal cancer.
Liu J; Li H; Sun L; Wang Z; Xing C; Yuan Y
Cancer Cell Int; 2017; 17():75. PubMed ID: 28794688
[TBL] [Abstract][Full Text] [Related]
16. Identification of prognostic biomarkers for malignant melanoma using microarray datasets.
Lin G; Yin G; Yan Y; Lin B
Oncol Lett; 2019 Nov; 18(5):5243-5254. PubMed ID: 31620197
[TBL] [Abstract][Full Text] [Related]
17. Identification of core differentially methylated genes in glioma.
Xue J; Gao HX; Sang W; Cui WL; Liu M; Zhao Y; Wang MB; Wang Q; Zhang W
Oncol Lett; 2019 Dec; 18(6):6033-6045. PubMed ID: 31788078
[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. Identification of Methylation-Regulated Differentially Expressed Genes and Related Pathways in Hepatocellular Carcinoma: A Study Based on TCGA Database and Bioinformatics Analysis.
Liang Y; Ma B; Jiang P; Yang HM
Front Oncol; 2021; 11():636093. PubMed ID: 34150612
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
