159 related articles for article (PubMed ID: 25642247)
1. Identification of differentially expressed genes in pituitary adenomas by integrating analysis of microarray data.
Zhao P; Hu W; Wang H; Yu S; Li C; Bai J; Gui S; Zhang Y
Int J Endocrinol; 2015; 2015():164087. PubMed ID: 25642247
[TBL] [Abstract][Full Text] [Related]
2. Identification of Potential Biomarkers with Diagnostic Value in Pituitary Adenomas Using Prediction Analysis for Microarrays Method.
Peng H; Deng Y; Wang L; Cheng Y; Xu Y; Liao J; Wu H
J Mol Neurosci; 2019 Nov; 69(3):399-410. PubMed ID: 31280474
[TBL] [Abstract][Full Text] [Related]
3. Identification of Important Invasion-Related Genes in Non-functional Pituitary Adenomas.
Joshi H; Vastrad B; Vastrad C
J Mol Neurosci; 2019 Aug; 68(4):565-589. PubMed ID: 30982163
[TBL] [Abstract][Full Text] [Related]
4. Gene expression profiling analysis of MENX-associated rat pituitary adenomas contributes to understand molecular mechanisms of human pituitary adenomas.
Zhang H; Xu C; Sun N; Zhou Y; Yu X; Yan X; Zhang Q
Oncol Lett; 2016 Jan; 11(1):125-133. PubMed ID: 26870179
[TBL] [Abstract][Full Text] [Related]
5. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.
Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K
Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538
[TBL] [Abstract][Full Text] [Related]
6. Identification of key pathways and genes in nasopharyngeal carcinoma using bioinformatics analysis.
Zhu HM; Fei Q; Qian LX; Liu BL; He X; Yin L
Oncol Lett; 2019 May; 17(5):4683-4694. PubMed ID: 30988824
[TBL] [Abstract][Full Text] [Related]
7. Identification for Exploring Underlying Pathogenesis and Therapy Strategy of Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
Xu Z; Jiang P; He S
Med Sci Monit; 2019 Dec; 25():9216-9226. PubMed ID: 31794546
[TBL] [Abstract][Full Text] [Related]
8. Integration of quantitative phosphoproteomics and transcriptomics revealed phosphorylation-mediated molecular events as useful tools for a potential patient stratification and personalized treatment of human nonfunctional pituitary adenomas.
Liu D; Li J; Li N; Lu M; Wen S; Zhan X
EPMA J; 2020 Sep; 11(3):419-467. PubMed ID: 32849927
[TBL] [Abstract][Full Text] [Related]
9. Identification of candidate target genes of pituitary adenomas based on the DNA microarray.
Zhou W; Ma CX; Xing YZ; Yan ZY
Mol Med Rep; 2016 Mar; 13(3):2182-6. PubMed ID: 26782791
[TBL] [Abstract][Full Text] [Related]
10. Identification of common gene networks responsive to radiotherapy in human cancer cells.
Hou DL; Chen L; Liu B; Song LN; Fang T
Cancer Gene Ther; 2014 Dec; 21(12):542-8. PubMed ID: 25412644
[TBL] [Abstract][Full Text] [Related]
11. Pathogenesis analysis of pituitary adenoma based on gene expression profiling.
Wang W; Xu Z; Fu L; Liu W; Li X
Oncol Lett; 2014 Dec; 8(6):2423-2430. PubMed ID: 25360166
[TBL] [Abstract][Full Text] [Related]
12. Bioinformatic analysis of gene expression profiles of pituitary gonadotroph adenomas.
Hou Z; Yang J; Wang G; Wang C; Zhang H
Oncol Lett; 2018 Feb; 15(2):1655-1663. PubMed ID: 29434861
[TBL] [Abstract][Full Text] [Related]
13. Novel Biomarkers for Non-functioning Invasive Pituitary Adenomas were Identified by Using Analysis of microRNAs Expression Profile.
Wu S; Gu Y; Huang Y; Wong TC; Ding H; Liu T; Zhang Y; Zhang X
Biochem Genet; 2017 Jun; 55(3):253-267. PubMed ID: 28315020
[TBL] [Abstract][Full Text] [Related]
14. Identification of Potential Key Genes Associated with Adipogenesis through Integrated Analysis of Five Mouse Transcriptome Datasets.
Zhang S; Wang L; Li S; Zhang W; Ma X; Cheng G; Yang W; Zan L
Int J Mol Sci; 2018 Nov; 19(11):. PubMed ID: 30424473
[TBL] [Abstract][Full Text] [Related]
15. Identification of driver genes and key pathways of non-functional pituitary adenomas predicts the therapeutic effect of STO-609.
Wu B; Jiang S; Wang X; Zhong S; Bi Y; Yi D; Liu G; Hu F; Dou G; Chen Y; Wu Y; Dong J
PLoS One; 2020; 15(10):e0240230. PubMed ID: 33119597
[TBL] [Abstract][Full Text] [Related]
16. TMT-based quantitative proteomics revealed follicle-stimulating hormone (FSH)-related molecular characterizations for potentially prognostic assessment and personalized treatment of FSH-positive non-functional pituitary adenomas.
Wang Y; Cheng T; Lu M; Mu Y; Li B; Li X; Zhan X
EPMA J; 2019 Dec; 10(4):395-414. PubMed ID: 31832114
[TBL] [Abstract][Full Text] [Related]
17. Bioinformatics analysis of gene expression profile data to screen key genes involved in intracranial aneurysms.
Guo T; Hou D; Yu D
Mol Med Rep; 2019 Nov; 20(5):4415-4424. PubMed ID: 31545495
[TBL] [Abstract][Full Text] [Related]
18. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
19. Identification of key pathways and genes in colorectal cancer using bioinformatics analysis.
Liang B; Li C; Zhao J
Med Oncol; 2016 Oct; 33(10):111. PubMed ID: 27581154
[TBL] [Abstract][Full Text] [Related]
20. Identification of pathogenic genes and upstream regulators in allergic rhinitis.
Lei Y; Guo P; An J; Guo C; Lu F; Liu M
Int J Pediatr Otorhinolaryngol; 2018 Dec; 115():97-103. PubMed ID: 30368403
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]